DEV Community: ai-jobs.net

Can you become an AI Developer without a degree?

ai-jobs.net — Thu, 23 Nov 2023 17:13:37 +0000

Yes, it is possible to become an AI Developer without a degree. While a degree can be beneficial and provide a solid foundation in computer science and mathematics, it is not the only path to a career in AI development. Here's a detailed breakdown of how to achieve this career goal without a degree:

Self-Study and Online Resources: Start by building a strong foundation in programming languages such as Python, as it is widely used in the AI field. Online platforms like Coursera, Udemy, and edX offer a variety of AI and machine learning courses taught by experts from top universities. Some popular courses include Andrew Ng's "Machine Learning" course and the "Deep Learning Specialization" by deeplearning.ai.
Projects and Practical Experience: Gain hands-on experience by working on AI projects. Start with small projects and gradually move on to more complex ones. Build a portfolio to showcase your work to potential employers. Participate in open-source projects or Kaggle competitions to collaborate with other developers and learn from their experiences.
Networking and Community Involvement: Join AI communities and attend meetups, conferences, and workshops. Engage with professionals in the field, ask questions, and seek guidance. Networking can help you find mentors, job opportunities, and stay updated with the latest trends in AI development.
Internships and Apprenticeships: Look for internships or apprenticeships in AI-related roles. These opportunities can provide valuable industry experience and help you bridge the gap between theoretical knowledge and practical application. Many companies offer internships specifically for individuals without a degree, focusing on skills and potential rather than formal education.
Building a Strong Online Presence: Create a personal website or a blog to showcase your projects, share your knowledge, and demonstrate your passion for AI development. Engage with the AI community on platforms like GitHub, Stack Overflow, and LinkedIn. Contribute to open-source projects and collaborate with other developers.

While pursuing a career in AI development without a degree is possible, there are some potential difficulties to consider:

Lack of Formal Education: Without a degree, you may face challenges when competing with candidates who have a formal education background. Some employers may have strict educational requirements, especially for senior positions. However, the demand for skilled AI developers is high, and many companies are more interested in practical skills and experience.
Self-Discipline and Motivation: Self-study requires discipline and motivation. You need to be proactive in seeking resources, setting goals, and staying consistent in your learning journey. It can be challenging to stay motivated without the structure and accountability provided by a formal education program.
Limited Networking Opportunities: Not having access to a university network can make it more difficult to connect with industry professionals and potential employers. However, online communities and networking events can help you overcome this limitation.

Benefits of pursuing a career in AI development without a degree include:

Flexibility and Cost-Effectiveness: Self-study and online resources allow you to learn at your own pace and often at a lower cost compared to a formal degree program.
Focus on Practical Skills: By focusing on projects and practical experience, you can develop hands-on skills that are directly applicable to real-world AI development scenarios.
Continuous Learning: AI is a rapidly evolving field, and self-study allows you to stay updated with the latest technologies and techniques. You can adapt your learning path based on your interests and the industry's demands.

In summary, while a degree can provide a solid foundation, it is possible to become an AI Developer without one. Self-study, practical experience, networking, and building a strong online presence are key to achieving this career goal. While there may be some difficulties, the benefits of flexibility, practical skills, and continuous learning make this path a viable option for aspiring AI developers.

This post first appeared on ai-jobs.net - Can you become an AI Developer without a degree?

Business Intelligence Data Analyst vs. BI Developer

ai-jobs.net — Wed, 22 Nov 2023 20:04:31 +0000

Businesses are relying more and more on Business Intelligence (BI) to make informed decisions. BI is a technology-driven process that involves collecting, analyzing, and presenting data to help organizations make better decisions. Two of the most common roles in BI are Business Intelligence Data Analyst and BI Developer. In this article, we will compare these two roles in terms of their definitions, responsibilities, required skills, educational backgrounds, tools and software used, common industries, outlooks, and practical tips for getting started in these careers.

Definitions

A Business Intelligence Data Analyst is responsible for analyzing data and providing insights to stakeholders. They use various tools and techniques to extract meaningful information from data and use it to make informed business decisions. On the other hand, a BI Developer is responsible for designing, developing, and maintaining the technical infrastructure that supports BI solutions. They work on the back-end of BI systems, ensuring that data is collected, stored, and processed efficiently.

Responsibilities

The responsibilities of a Business Intelligence Data Analyst include:

Collecting, cleaning, and analyzing data
Creating reports and dashboards to visualize data
Identifying trends and patterns in data
Presenting insights to stakeholders
Identifying areas for improvement in data collection and analysis processes

The responsibilities of a BI Developer include:

Designing and developing data models and databases
Building and maintaining ETL (Extract, Transform, Load) processes
Developing and maintaining BI applications and tools
Ensuring data security and compliance
Troubleshooting and resolving technical issues

Required Skills

The required skills for a Business Intelligence Data Analyst include:

Strong analytical and problem-solving skills
Proficiency in SQL and Data visualization tools such as Tableau, Power BI, or QlikView
Knowledge of Statistics and techniques
Excellent communication and presentation skills
Familiarity with concepts

The required skills for a BI Developer include:

Proficiency in programming languages such as SQL, Python, and Java
Knowledge of data modeling and database design
Experience with ETL tools such as Informatica, Talend, or SSIS
Familiarity with BI tools and technologies such as Tableau, Power BI, or MicroStrategy
Understanding of data security and compliance regulations

Educational Backgrounds

A Business Intelligence Data Analyst typically has a degree in Computer Science, statistics, or a related field. They may also have a background in business or Finance. A BI Developer may have a degree in computer science, information technology, or software engineering. They may also have certifications in BI technologies such as Tableau, Microsoft BI, or Oracle BI.

Tools and Software Used

Business Intelligence Data Analysts use tools such as Tableau, Power BI, QlikView, and Excel for Data visualization and analysis. They also use SQL for data querying and manipulation. BI Developers use programming languages such as SQL, Python, and Java for building and maintaining BI applications. They also use ETL tools such as Informatica, Talend, or SSIS for data integration.

Common Industries

Business Intelligence Data Analysts and BI Developers are in high demand across various industries, including Finance, healthcare, retail, and technology. They are needed in any industry that relies on data-driven decision-making.

Outlooks

According to the US Bureau of Labor Statistics, the employment of Computer and Information Research Scientists, which includes BI Developers, is projected to grow 15 percent from 2019 to 2029, much faster than the average for all occupations. Similarly, the employment of Management Analysts, which includes Business Intelligence Data Analysts, is projected to grow 11 percent from 2019 to 2029, much faster than the average for all occupations.

Practical Tips for Getting Started in These Careers

If you are interested in becoming a Business Intelligence Data Analyst, consider taking courses in Data analysis, statistics, and data visualization. Look for internships or entry-level positions in companies that use BI tools. Build a portfolio of data analysis projects that you can showcase to potential employers.

If you are interested in becoming a BI Developer, consider taking courses in programming, database design, and ETL tools. Look for internships or entry-level positions in companies that use BI technologies. Build a portfolio of BI applications that you have developed.

In conclusion, both Business Intelligence Data Analysts and BI Developers play critical roles in helping organizations make data-driven decisions. While their responsibilities and required skills may differ, both careers offer excellent opportunities for growth and advancement. With the right education and experience, you can build a successful career in the exciting field of Business Intelligence.

Data Engineer vs. Business Intelligence Data Analyst

ai-jobs.net — Tue, 14 Nov 2023 09:41:01 +0000

In the world of data, there are various roles that are necessary for organizations to effectively manage and analyze their data. Two such roles are Data Engineer and Business Intelligence Data Analyst. In this article, we will explore the differences between these roles in terms of their definitions, responsibilities, required skills, educational backgrounds, tools and software used, common industries, outlooks, and practical tips for getting started in these careers.

Definitions

A Data Engineer is responsible for designing, building, and maintaining the infrastructure that enables organizations to store, process, and analyze large volumes of data. They work with various technologies such as Hadoop, Spark, and SQL to ensure that data is collected, processed, and made available to other members of the organization in a timely and efficient manner.

On the other hand, a Business Intelligence Data Analyst is responsible for analyzing data to help organizations make better business decisions. They work with various tools such as Tableau, Power BI, and Excel to create visualizations and dashboards that provide insights into key business metrics. They also work closely with stakeholders to understand business requirements and ensure that data is presented in a way that is easy to understand and actionable.

Responsibilities

The responsibilities of a Data Engineer include:

Designing and building Data pipelines to move and transform data from various sources into a central repository
Ensuring data quality and consistency across the organization
Managing and maintaining data infrastructure such as databases, data warehouses, and data lakes
Implementing Security and access controls to protect sensitive data
Monitoring and optimizing the performance of data systems

The responsibilities of a Business Intelligence Data Analyst include:

Gathering and analyzing data to identify trends and patterns
Creating visualizations and dashboards to present data in a meaningful way
Collaborating with stakeholders to understand business requirements and provide insights to inform decision-making
Developing and maintaining reports that track key business metrics
Ensuring data accuracy and consistency across reports and visualizations

Required Skills

The skills required for a Data Engineer include:

Proficiency in programming languages such as Python, Java, or Scala
Experience with data processing technologies such as Hadoop, Spark, and Kafka
Knowledge of database technologies such as SQL and NoSQL
Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud
Understanding of data modeling and ETL processes

The skills required for a Business Intelligence Data Analyst include:

Proficiency in Data visualization tools such as Tableau, Power BI, or QlikView
Strong analytical skills and ability to identify trends and patterns in data
Knowledge of SQL and database technologies
Understanding of business operations and key performance indicators
Ability to communicate insights to non-technical stakeholders

Educational Backgrounds

Data Engineers typically have a degree in Computer Science, software Engineering, or a related field. They may also have certifications in cloud computing or Big Data technologies.

Business Intelligence Data Analysts may have a degree in business, Economics, Statistics, or a related field. They may also have certifications in Data analysis or visualization tools.

Tools and Software Used

Data Engineers use a variety of tools and software to design, build, and maintain data infrastructure. These include:

Hadoop and Spark for data processing
SQL and NoSQL databases for data storage
Kafka and other messaging systems for data Streaming
AWS, Azure, or Google Cloud for cloud computing

Business Intelligence Data Analysts use a variety of tools and software to analyze and visualize data. These include:

Tableau, Power BI, or QlikView for Data visualization
Excel for Data analysis
SQL for database querying and manipulation

Common Industries

Data Engineers are in demand in industries such as Finance, healthcare, E-commerce, and technology. Any organization that deals with large volumes of data can benefit from a Data Engineer.

Business Intelligence Data Analysts are in demand in industries such as Finance, marketing, and healthcare. Any organization that needs to make data-driven decisions can benefit from a Business Intelligence Data Analyst.

Outlooks

The outlook for both Data Engineers and Business Intelligence Data Analysts is positive. According to the Bureau of Labor Statistics, employment of computer and information technology occupations, which includes both roles, is projected to grow 11 percent from 2019 to 2029, much faster than the average for all occupations.

Practical Tips for Getting Started

To get started as a Data Engineer, it is recommended to:

Learn programming languages such as Python or Java
Gain experience with Big Data technologies such as Hadoop and Spark
Get certified in cloud computing platforms such as AWS or Azure

To get started as a Business Intelligence Data Analyst, it is recommended to:

Learn data visualization tools such as Tableau or Power BI
Gain experience with SQL and database querying
Develop strong analytical skills and business acumen

Conclusion

In conclusion, Data Engineers and Business Intelligence Data Analysts play important roles in managing and analyzing data for organizations. While their responsibilities and required skills differ, both roles are in demand and offer promising career paths. By understanding the differences between these roles and taking practical steps to gain the necessary skills, individuals can pursue a fulfilling career in the data industry.

A huge list of AI/ML news sources

ai-jobs.net — Fri, 25 Nov 2022 13:30:24 +0000

This is a list of online news & info sources in the AI/ML/Data Science space with their website + RSS feed. This is an extract of all the sources aggregated from on the allainews.com website.

AI/ML News
AI/ML Podcasts
AI/ML Videos
AI/ML Jobs

AI/ML News

AI-TechPark - AI, ML, IoT, Cybersecurity News & Trend Analysis, Interviews (RSS feed: https://ai-techpark.com/feed)
AI Accelerator Institute | Future of Artificial Intelligence - Next Generation Machine Intelligence (RSS feed: https://aiacceleratorinstitute.com/rss/)
ΑΙhub - Connecting the AI community and the world. - Association for the Understanding of Artificial Intelligence (RSS feed: https://aihub.org/feed?cat=-473)
AI Weirdness - AI Weirdness: the strange side of machine learning (RSS feed: https://www.aiweirdness.com/rss/)
AWS Machine Learning Blog - Official Machine Learning Blog of Amazon Web Services (RSS feed: https://aws.amazon.com/blogs/machine-learning/feed)
Amazon Science Homepage - Learn about Amazon's approach to customer-obsessed science. Amazon Science provides the latest news, research and innovation in artificial intelligence (AI) and machine learning (ML), … (RSS feed: https://www.amazon.science/index.rss)
Anaconda Blog - The Data Science Blog (RSS feed: https://www.anaconda.com/blog/feed)
Analytics India Magazine - Emerging Tech, Artificial Intelligence, Data Science (RSS feed: https://analyticsindiamag.com/feed/)
Ars Technica - Serving the Technologist for more than a decade. IT news, reviews, and analysis. (RSS feed: https://feeds.arstechnica.com/arstechnica/index)
AI News - Artificial Intelligence News (RSS feed: https://www.artificialintelligence-news.com/feed/rss/)
stat.ML updates on arXiv.org - Statistics -- Machine Learning (stat.ML) updates on the arXiv.org e-print archive (RSS feed: https://arxiv.org/rss/stat.ML)
cs.CL updates on arXiv.org - Computer Science -- Computation and Language (cs.CL) updates on the arXiv.org e-print archive (RSS feed: https://arxiv.org/rss/cs.CL)
cs.CV updates on arXiv.org - Computer Science -- Computer Vision and Pattern Recognition (cs.CV) updates on the arXiv.org e-print archive (RSS feed: https://arxiv.org/rss/cs.CV)
cs.LG updates on arXiv.org - Computer Science -- Machine Learning (cs.LG) updates on the arXiv.org e-print archive (RSS feed: https://arxiv.org/rss/cs.LG)
AssemblyAI Blog - Fortune 500s, Startups, and thousands of Developers build with AssemblyAI's Speech-to-Text APIs. Read more about our company, research, and product updates! (RSS feed: https://www.assemblyai.com/blog/rss/)
Benzinga - Podcasts (RSS feed: https://www.benzinga.com/feed)
ML@B Blog - Machine Learning at Berkeley is a student organization at UC Berkeley (RSS feed: https://ml.berkeley.edu/blog/rss.xml)
The Berkeley Artificial Intelligence Research Blog - The BAIR Blog (RSS feed: https://bair.berkeley.edu/blog/feed.xml)
Python Insider - Python core development news and information. (RSS feed: https://feeds.feedburner.com/PythonInsider)
Nicholas Carlini - Nicholas writes things. (RSS feed: https://nicholas.carlini.com/writing/feed.xml)
Machine Learning Blog | ML@CMU | Carnegie Mellon University - (RSS feed: https://blog.ml.cmu.edu/feed)
Crunchbase News - Data-driven reporting on private markets, startups, founders, and investors (RSS feed: https://news.crunchbase.com/feed)
DagsHub Blog - Open Source Data Science, ML Workflows and MLOps (RSS feed: https://dagshub.com/blog/rss/)
Dataconomy - Bridging the gap between technology and business (RSS feed: https://dataconomy.com/feed)
Datafloq - Data & Technology Insights (RSS feed: https://datafloq.com/feed/?post_type=post)
Datanami - Data Science • AI • Advanced Analytics (RSS feed: https://www.datanami.com/feed/)
Blog Archives • David Stutz - Robust and trustworthy artificial intelligence and computer vision research and engineering (RSS feed: https://davidstutz.de/category/blog/feed)
Deep & Shallow - Musings, tidbits, and insights about all things data (RSS feed: https://deep-and-shallow.com/feed)
Deephaven Blog - Deephaven Blog (RSS feed: https://deephaven.io/blog/rss.xml)
Latest Post - Deepmind Blog (RSS feed: https://deepmind.com/blog/feed/basic/)
DEV Community - A constructive and inclusive social network for software developers. With you every step of your journey. (RSS feed: https://dev.to/feed)
Digital Journal - Digital Journal is a digital media news network with thousands of Digital Journalists in 200 countries around the world. Join us! (RSS feed: https://www.digitaljournal.com/feed)
Distill - Homepage articles from Distill (RSS feed: https://distill.pub/rss.xml)
Elastic Blog - Elasticsearch, Kibana, and ELK Stack - Tutorials, deep dives, news, releases, stories, and more from the creators of Elasticsearch (RSS feed: https://www.elastic.co/blog/feed)
Explosion - Explosion is a software company specializing in developer tools for Artificial Intelligence and Natural Language Processing. We’re the makers of spaCy, one of the … (RSS feed: https://explosion.ai/feed)
fast.ai - Making neural nets uncool again (RSS feed: https://www.fast.ai/index.xml)
fast.ai - 404 File not found The site configured at this address does not contain the requested file. If this is your site, make sure that … (RSS feed: http://www.fast.ai/atom.xml)
Data Archives | Future - (RSS feed: https://future.com/category/data/feed)
Google AI Blog - The latest news from Google AI. (RSS feed: http://googleaiblog.blogspot.com/atom.xml)
Gradient Flow - Unlocking Data and AI (RSS feed: https://gradientflow.com/feed/)
Hacker Noon - ai - How hackers start their afternoons. (RSS feed: https://hackernoon.com/tagged/ai/feed)
HealthTech Magazine - Internal Server Error Error 500 (RSS feed: https://feeds.feedburner.com/HealthTechMagazine)
Hugging Face - Blog - The Hugging Face blog (RSS feed: https://huggingface.co/blog/feed.xml)
Chip Huyen - Chip Huyen is a writer and computer scientist. She works to bring the best engineering practices to machine learning production. (RSS feed: https://huyenchip.com/feed)
IEEE Spectrum - IEEE Spectrum (RSS feed: https://spectrum.ieee.org/feeds/topic/artificial-intelligence.rss)
InfoQ - AI, ML & Data Engineering - InfoQ AI, ML & Data Engineering feed (RSS feed: https://feed.infoq.com/ai-ml-data-eng/)
InfoWorld Analytics - (RSS feed: https://www.infoworld.com/category/analytics/index.rss)
InfoWorld Machine Learning - (RSS feed: https://www.infoworld.com/category/machine-learning/index.rss)
insideBIGDATA - insideBIGDATA: Clear, Concise Insights on Big Data Strategies (RSS feed: https://insidebigdata.com/feed)
Blog – Machine Intelligence Research Institute - Not Found Error 404 (RSS feed: http://feeds.feedburner.com/miriblog)
Import AI - Whoops! There was a small systems error. Please try refreshing the page and if the error is still there drop us a note and … (RSS feed: https://jack-clark.net/feed)
JMLR - Journal of Machine Learning Research (RSS feed: https://www.jmlr.org/jmlr.xml)
KDnuggets - Machine Learning, Data Science, Big Data, Analytics, AI (RSS feed: https://www.kdnuggets.com/feed)
Lambda Blog - GPU Workstations, Servers, Laptops, and Cloud for Deep Learning (RSS feed: https://lambdalabs.com/blog/rss/)
Last Week in AI - weekly digests of the most interesting and important AI news (RSS feed: https://lastweekin.ai/feed)
Blog – Machine Learning Mastery - Making developers awesome at machine learning (RSS feed: https://machinelearningmastery.com/blog/feed)
MarkTechPost - An Artificial Intelligence News Platform (RSS feed: https://www.marktechpost.com/feed)
Stories by Samuele Mazzanti on Medium - Stories by Samuele Mazzanti on Medium (RSS feed: https://medium.com/feed/@mazzanti.sam)
MLearning.ai - Medium - Data Scientists must think like an artist when finding a solution when creating a piece of code. ⚪️ Artists enjoy working on interesting problems, … (RSS feed: https://medium.com/feed/mlearning-ai)
Microsoft Research - (RSS feed: https://www.microsoft.com/en-us/research/feed/)
Max Woolf's Blog - Posts (RSS feed: https://minimaxir.com/post/index.xml)
MIT News - Machine learning - MIT news feed about: Machine learning (RSS feed: https://news.mit.edu/topic/mitmachine-learning-rss.xml)
AI & Machine Learning Blog - Check out the latest blog articles, webinars, insights, and other resources on Machine Learning, Deep Learning on Nanonets blog. (RSS feed: https://nanonets.com/blog/rss/)
Machine learning : nature.com subject feeds - Latest news and research from Nature.com on the topic of Machine learning (RSS feed: https://www.nature.com/subjects/machine-learning.rss)
Blog – neptune.ai - Metadata store for MLOps, built for teams that run a lot of experiments. (RSS feed: https://neptune.ai/blog/feed)
New Scientist - Technology - New Scientist - Technology (RSS feed: https://www.newscientist.com/subject/technology/feed/)
NVIDIA Technical Blog - News and tutorials for developers, data scientists, and IT admins (RSS feed: https://developer.nvidia.com/blog/feed)
OpenAI - OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. (RSS feed: https://openai.com/blog/rss/)
Artificial Intelligence News – Packt Hub - Tech News, Insights and Tutorials from Packt Publishing (RSS feed: https://hub.packtpub.com/category/data/artificial-intelligence/feed)
Paperspace Blog - Machine Learning • Artificial Intelligence • 3D Graphics • Cloud GPUs (RSS feed: https://blog.paperspace.com/rss/)
Machine Learning & Big Data Blog – BMC Software | Blogs - (RSS feed: https://www.bmc.com/blogs/categories/machine-learning-big-data/feed)
Product Hunt — The best new products, every day - (RSS feed: https://www.producthunt.com/feed)
PyImageSearch - You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch (RSS feed: https://pyimagesearch.com/blog/feed)
Newest Python PEPs - Newest Python Enhancement Proposals (PEPs) - Information on new language features, and some meta-information like release procedure and schedules. (RSS feed: https://www.python.org/dev/peps/peps.rss)
Quanta Magazine - Illuminating science (RSS feed: https://api.quantamagazine.org/feed)
R-bloggers - R news and tutorials contributed by hundreds of R bloggers (RSS feed: https://feeds.feedburner.com/RBloggers)
Radiant Earth Foundation - Earth Imagery for Impact (RSS feed: https://www.radiant.earth/feed/)
Data Science - A place for data science practitioners and professionals to discuss and debate data science career questions. (RSS feed: https://www.reddit.com/r/datascience.json?limit=50)
Machine Learning - (RSS feed: https://www.reddit.com/r/MachineLearning.json?limit=50)
Computer Vision - Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This … (RSS feed: https://www.reddit.com/r/computervision.json?limit=50)
machinelearningnews - We are a community of machine learning enthusiasts/researchers/journalists/writers who share interesting news and articles about the applications of AI. You will never miss any … (RSS feed: https://www.reddit.com/r/machinelearningnews.json?limit=50)
Reinforcement Learning - Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Examples are AlphaGo, clinical trials … (RSS feed: https://www.reddit.com/r/reinforcementlearning.json?limit=50)
Neural Networks, Deep Learning and Machine Learning - Subreddit about Artificial Neural Networks, Deep Learning and Machine Learning. (RSS feed: https://www.reddit.com/r/neuralnetworks.json?limit=50)
Natural Language Processing - Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) … (RSS feed: https://www.reddit.com/r/LanguageTechnology.json?limit=50)
Artificial Intelligence - Reddit's home for Artificial Intelligence (RSS feed: https://www.reddit.com/r/artificial.json?limit=50)
Deep Learning - (RSS feed: https://www.reddit.com/r/deeplearning.json?limit=50)
Replicate Blog - Machine learnings from the Replicate team (RSS feed: https://replicate.com/blog/rss)
Rest of World - - Reporting Global Tech Stories (RSS feed: https://restofworld.org/feed/latest/)
Technology | Reuters News Agency - (RSS feed: https://www.reutersagency.com/feed/?best-topics=tech)
Sebastian Ruder - I'm a research scientist at Google. I blog about natural language processing and machine learning. (RSS feed: https://ruder.io/rss/index.rss)
Neural Interfaces News -- ScienceDaily - Read amazing research on neural interfaces, brain-controlled robotic devices, microchips that mimic the brain and more. (RSS feed: https://www.sciencedaily.com/rss/computers_math/neural_interfaces.xml)
Robotics Research News -- ScienceDaily - Robots and Artificial Intelligence. From babybots to surprisingly accomplished robots, read all the latest news and research in robotics here. (RSS feed: https://www.sciencedaily.com/rss/computers_math/robotics.xml)
Artificial Intelligence News -- ScienceDaily - Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more. (RSS feed: https://www.sciencedaily.com/rss/computers_math/artificial_intelligence.xml)
Scientific American Content: Global - Science news and technology updates from Scientific American (RSS feed: http://rss.sciam.com/ScientificAmerican-Global)
AI – SiliconANGLE - Extracting the signal from the noise. (RSS feed: https://siliconangle.com/category/ai/feed)
Big Data – SiliconANGLE - Extracting the signal from the noise. (RSS feed: https://siliconangle.com/category/big-data/feed)
Blog - Stability.Ai - (RSS feed: https://stability.ai/blog?format=rss)
The Stanford AI Lab Blog - The Stanford AI Lab (SAIL) Blog is a place for SAIL students, faculty, and researchers to share our work with the general public. (RSS feed: http://ai.stanford.edu/blog/feed.xml)
Stanford HAI - Skip to main content Skip to secondary navigation Stanford University(link is external) Search this site Submit Search AboutWelcomeValuesResearch Centers & PartnersCorporate ProgramsGet InvolvedFundraising PolicyPeopleLeadershipAdvisory … (RSS feed: https://hai.stanford.edu/rss.xml)
Synced - AI Technology & Industry Review (RSS feed: https://syncedreview.com/feed)
Deep Tech - Tech.eu - Categories News Videos Galleries Browse Insights content. Review Tech.eu reports. Topics Inside Data/Research News Premium Podcast Events Online: Fintech9 March Summit17 May All Events … (RSS feed: https://tech.eu/category/deep-tech/feed)
Robotics - Tech.eu - The premier source of European technology news, data, research, analysis and in-depth market intelligence. (RSS feed: https://tech.eu/category/robotics/feed)
TechCrunch - Startup and Technology News (RSS feed: https://techcrunch.com/feed/)
Computing – MIT Technology Review - (RSS feed: https://www.technologyreview.com/c/computing/rss/)
Artificial Intelligence on TechRepublic - Artificial Intelligence on TechRepublic (RSS feed: https://www.techrepublic.com/rssfeeds/topic/artificial-intelligence/)
Tech Xplore - News on Artificial Intelligence and Machine Learning - The latest news on Artificial Intelligence and Machine Learning (RSS feed: https://techxplore.com/rss-feed/machine-learning-ai-news/)
News on Artificial Intelligence and Machine Learning - The latest news on Artificial Intelligence and Machine Learning (RSS feed: https://phys.org/rss-feed/technology-news/machine-learning-ai/)
THE DECODER - Artificial Intelligence: News, Business, Research (RSS feed: https://the-decoder.com/feed/)
AI Summer - Learn Deep Learning and Artificial Intelligence (RSS feed: https://theaisummer.com/feed.xml)
The Gradient - A digital publication about artificial intelligence and the future. (RSS feed: https://thegradient.pub/rss/)
Artificial intelligence (AI) | The Guardian - Latest news and features from theguardian.com, the world's leading liberal voice (RSS feed: https://www.theguardian.com/technology/artificialintelligenceai/rss)
Neural - The Next Web - Original and proudly opinionated perspectives for Generation T (RSS feed: https://thenextweb.com/neural/feed)
The Register - Software: AI + ML - Biting the hand that feeds IT — Enterprise Technology News and Analysis (RSS feed: https://www.theregister.com/software/ai_ml/headlines.atom)
The Verge - All Posts - Be back soon. Chorus Logo Our sites are offline for maintenance. Thank you for your patience while we’re making these updates. We’ll be back … (RSS feed: https://www.theverge.com/rss/index.xml)
Towards AI - Medium - Towards AI is the world’s leading AI and technology publication. Publishing unbiased AI and technology-related articles. Read by thought-leaders and decision-makers around the world. … (RSS feed: https://pub.towardsai.net/feed)
Towards Data Science - Medium - Your home for data science. A Medium publication sharing concepts, ideas and codes. - Medium (RSS feed: https://towardsdatascience.com/feed)
AI – Uber Engineering Blog - Software engineering and technologies that set the world in motion (RSS feed: https://eng.uber.com/category/articles/ai/feed)
Unite.AI - - AI News (RSS feed: https://www.unite.ai/feed/)
AI – VentureBeat - Transformative tech coverage that matters (RSS feed: https://venturebeat.com/category/ai/feed/)
Weights & Biases: Fully Connected - Fully Connected is your home for curated tutorials, conversations with industry leaders, deep dives into the newest ML research, and a whole lot more. (RSS feed: https://wandb.ai/fully-connected/rss.xml)
The Artificial Intelligence Database - Explore the technology like never before with our new database, which collects all of our stories on artificial intelligence and filters them by sector, … (RSS feed: https://www.wired.com/feed/category/artificial-intelligence/rss)
Latest topics for ZDNet in Artificial-Intelligence - Latest topics for ZDNet in Artificial-Intelligence (RSS feed: https://www.zdnet.com/topic/artificial-intelligence/rss.xml)
Latest topics for ZDNet in Big-Data - Latest topics for ZDNet in Big-Data (RSS feed: https://www.zdnet.com/topic/big-data/rss.xml)

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AI/ML Podcasts

AI and the Future of Work - Host Dan Turchin, PeopleReign CEO and InsightFinder advisor, explores how AI is changing the workplace. He interviews thought leaders across high-tech who share their … (RSS feed: https://feeds.buzzsprout.com/520474.rss)
NLP Highlights - Welcome to the NLP highlights podcast, where we i… (RSS feed: http://feeds.soundcloud.com/users/soundcloud:users:306749289/sounds.rss)
DataTalks.Club - DataTalks.Club - the place to talk about data! (RSS feed: https://anchor.fm/s/41286f68/podcast/rss)
Utilizing AI - The Enterprise AI Podcast - AI is getting real, moving out of academia and hyperscale and into the enterprise. Businesses are adopting AI in strategically, and IT companies are … (RSS feed: https://anchor.fm/s/32ec7408/podcast/rss)
Global AI - The Podcast - Ever wondered what's happening in Microsoft AI space and how industry and community experts are making an impact? Subscribe this podcast and learn something … (RSS feed: https://anchor.fm/s/443868ac/podcast/rss)
Market Interviews with CEOs, Startups, Founders and Domain Experts - In this show we interview domain experts and business owners to learn about their industry and the challenges they are facing. Our goal is … (RSS feed: https://anchor.fm/s/43e0b648/podcast/rss)
Big Data Beard - Welcome to The Big Data Beard podcast, where we explore the trends, technology, and talented people making Big Data a big deal. (RSS feed: https://bigdatabeard.com/feed)
Practical AI: Machine Learning, Data Science - Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert … (RSS feed: https://changelog.com/practicalai/feed)
More or Less: Behind the Stats - Tim Harford and the More or Less team try to make sense of the statistics which surround us. From BBC Radio 4 (RSS feed: https://podcasts.files.bbci.co.uk/p02nrss1.rss)
Data Engineering Podcast - This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data … (RSS feed: https://www.dataengineeringpodcast.com/feed/mp3/)
The Banana Data Podcast - Welcome to the Banana Data Podcast! We're a data science podcast focused on the latest & greatest of the DS ecosystem, sprinkled in with … (RSS feed: https://feeds.buzzsprout.com/300035.rss)
Data Skeptic - The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from … (RSS feed: https://dataskeptic.libsyn.com/rss)
Data Stories - A podcast on data visualization with Enrico Bertini and Moritz Stefaner (RSS feed: https://datastori.es/feed/)
Adventures in Machine Learning – Devchat.tv - Seasoned pro or complete beginner, everyone can join our weekly Adventures in Machine Learning podcast. We're covering all the breakthroughs, influencers, and resources of … (RSS feed: https://topenddevs.com/podcasts/adventures-in-machine-learning/rss.rss)
The AI in Business Podcast - The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. … (RSS feed: http://podcast.emerj.com/rss)
Making Data Simple - Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the … (RSS feed: http://feeds.feedburner.com/ibm-big-data-hub-podcasts)
Intel on AI - The Intel on AI podcast features interviews with the world’s most interesting AI experts, covering a wide range of topics, including academia, applications, strategy, … (RSS feed: http://feeds.libsyn.com/363776/rss)
AI in Financial Services Podcast - Unlock the business value of AI in financial services with in-depth interviews on trends, use-cases, and cutting-edge best practices. In each episode, Emerj Founder … (RSS feed: https://aiandbanking.libsyn.com/rss)
Small Data Forum Podcast - How do you make Big Data less intimidating, more actionable and thus more valuable, in particular for marketing and communications professionals? That is the … (RSS feed: http://lexisnexisbis.libsyn.com/rss)
MLOps.community - Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka … (RSS feed: https://anchor.fm/s/174cb1b8/podcast/rss)
Not So Standard Deviations - Roger Peng and Hilary Parker talk about the latest in data science and data analysis in academia and industry. (RSS feed: http://nssdeviations.com/rss)
The AI Podcast - AI has been described as “Thor’s Hammer“ and “the… (RSS feed: http://feeds.soundcloud.com/users/soundcloud:users:264034133/sounds.rss)
O'Reilly Data Show Podcast - The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI. (RSS feed: http://feeds.podtrac.com/IOJSwQcdEBcg)
Data Science at Home - Technology, AI, machine learning and algorithms (RSS feed: https://datascienceathome.com/feed.xml)
Harvard Data Science Review Podcast - The Harvard Data Science Review (HDSR) podcast aims to show news, policy, and business through the lens of data science. Each episode is a … (RSS feed: https://feed.podbean.com/hdsr/feed.xml)
Roaring Elephant - A weekly community podcast about Big Technology with a focus on Open Source, Advanced Analytics and other modern magic. Visit us: http://www.roaringelephant.org/ (RSS feed: https://roaringelephant.org/feed/podcast/)
The Stack Overflow Podcast - For more than a dozen years, the Stack Overflow Podcast has been exploring what it means to be a developer and how the art … (RSS feed: https://feeds.simplecast.com/XA_851k3)
The Gradient Podcast - Interviews with various people who research, build, or use AI, including academics, engineers, artists, entrepreneurs, and more. thegradientpub.substack.com (RSS feed: https://api.substack.com/feed/podcast/265424/s/1354.rss)
Talk Python To Me - Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software … (RSS feed: https://talkpython.fm/episodes/rss)
The Artists of Data Science - In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a … (RSS feed: https://feeds.fireside.fm/theartistsofdatascience/rss)
The Data Exchange - Data ∪ Machine Learning ∪ AI (RSS feed: https://thedataexchange.media/feed/)
Geomob - Geoinnovation - for fun or profit (RSS feed: https://geomob-podcast.castos.com/feed)
The Data Engineering Show - The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory, and learn from the biggest influencers in … (RSS feed: https://feeds.transistor.fm/the-data-engineering-show)
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and … (RSS feed: https://twimlai.com/feed)
Gradient Dissent - Gradient Dissent is a machine learning podcast hosted by Lukas Biewald that takes you behind-the-scenes to learn how industry leaders are putting deep learning … (RSS feed: https://feeds.captivate.fm/gradient-dissent/)

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AI/ML Videos

AssemblyAI Blog - Fortune 500s, Startups, and thousands of Developers build with AssemblyAI's Speech-to-Text APIs. Read more about our company, research, and product updates! (RSS feed: https://www.assemblyai.com/blog/rss/)
NVIDIA - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCHuiy8bXnmK5nisYHUd1J5g)
Aitrepreneur - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCEAbqW0HFB_UxZoUDO0kJBw)
The Data Scientist Show - Daliana Liu - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCa0RTSXWyZdh7IciV9r-3ow)
Allen Institute for AI - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCEqgmyWChwvt6MFGGlmUQCQ)
Two Minute Papers - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCbfYPyITQ-7l4upoX8nvctg)
Edan Meyer - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UC66Ggxy8MHX9DCDohdRYDTA)
What's AI by Louis Bouchard - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCUzGQrN-lyyc0BWTYoJM_Sg)
Yannic Kilcher - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCZHmQk67mSJgfCCTn7xBfew)
AI Coffee Break with Letitia - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCobqgqE4i5Kf7wrxRxhToQA)
Nicholas Renotte - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCHXa4OpASJEwrHrLeIzw7Yg)
TensorFlow - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UC0rqucBdTuFTjJiefW5t-IQ)
Joma Tech - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCV0qA-eDDICsRR9rPcnG7tw)
Recall by Dataiku - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCVqU1Vy3HO4Ms-pbN0r2_kg)
Machine Learning Street Talk - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCMLtBahI5DMrt0NPvDSoIRQ)
Analytics India Magazine - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCAlwrsgeJavG1vw9qSFOUmA)
Nicolai Nielsen - Computer Vision & AI - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCpABUkWm8xMt5XmGcFb3EFg)
AssemblyAI - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCtatfZMf-8EkIwASXM4ts0A)
Towards Data Science - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCuHZ1UYfHRqk3-5N5oc97Kw)
Manning Publications - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCDia_lkNYKLJVLRLQl_-pFw)
IBM Research - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCwx7Y3W30N8aS_tiCy2x-2g)
Jordan Harrod - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UC1H1NWNTG2Xi3pt85ykVSHA)
DeepMind - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCP7jMXSY2xbc3KCAE0MHQ-A)
Keith Galli - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCq6XkhO5SZ66N04IcPbqNcw)
Kaggle - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCSNeZleDn9c74yQc-EKnVTA)
Alex Smola - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCYoS2VT03weLA7uzvL2Vybw)
Full Stack Deep Learning - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCVchfoB65aVtQiDITbGq2LQ)
H2O.ai - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCk6ONJlPzjw3DohAeMSgsng)
Super Data Science Podcast with Jon Krohn - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCMbtqTGdSsxYYhhTpV4lSTQ)
Tina Huang - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UC2UXDak6o7rBm23k3Vv5dww)
Aleksa Gordić - The AI Epiphany - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCj8shE7aIn4Yawwbo2FceCQ)
Ken Jee - (RSS feed: https://www.youtube.com/feeds/videos.xml?channel_id=UCiT9RITQ9PW6BhXK0y2jaeg)

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AI/ML Jobs

ai-jobs.net - The most comprehensive, lean and clean, no-nonsense job site related to all things Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general. (RSS feed: https://ai-jobs.net/feed/)

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AI/ML/Data Science jobs at remote-first companies

ai-jobs.net — Mon, 13 Jun 2022 07:25:31 +0000

The ratio of remote jobs on our site during May this year was about 35.5% of all job openings published, compared to 23% during the same month in 2021. That’s quite an increase and a clear sign that remote working is here to stay and becoming quite common for at least one third of applicants that find their new role in the AI/ML space through our site.

Now there are different kinds of companies out there that hire remotely. For example the ones that have been forced to go remote during the past two years for obvious reasons. Many of them now seem to adapt a hybrid working model with some time remote and some time on-site/in the office. Others already had some staff working remotely before the pandemic, mostly engineers, developers or contractors. And then there are companies that have either been fully remote since their inception or simply canceled their office lease within the last year or two, sent everyone home and never looked back.

The latter is what we commonly refer to as remote-first companies. Many are 100% remote, so they don’t even have a real office anywhere, and all employees are free to chose where to work from, although often within timezone or country restrictions. Some still maintain office space somewhere but consider being physically present optional – hence the term remote-first.

New remote-first attribute for employers

We wanted to take the growing presence of these companies on our plattform into account and added a remote-first label to make it a little easier to spot them. By scanning job descriptions for indicators of a remote-first employer we now have a list of remote-first companies that are hiring in the AI/ML space: https://ai-jobs.net/remote-companies/

This list also includes companies that are partially remote-first with only a division or some teams (e.g. dev teams) being fully remote and the rest maybe not so much. But usually the jobs listed on our platform are part of their fully remote team and embedded in a remote-first environment.

A ‘Remote-first’ badge also appears on a company page for those that promote themselves as a remote-first company or 100% remote team, etc. in their job ads.

We’re also considering adding a search filter for this attribute so looking for jobs at these companies could become a little easier in the future. Until then, stay tuned!

Country search and short URLs for jobs

ai-jobs.net — Wed, 06 Apr 2022 10:21:13 +0000

Here comes another quick update on some recent changes to our job site. We’re trying to move forward much faster these days and still have tons of features and especially improvememts in the pipeline. Enjoy!

Search by country

Some are looking for AI/ML-related jobs in another region or country, others are tied to where they’re are at the moment or the near future. Either way, to make the situation a bit easier for both we implemented a way to go a little more local with the job search. Now it is possible to select a country to search in, and display or filter all listings in the particular country exclusively.

You can find a complete overview of all countries with jobs available via https://ai-jobs.net/countries/

This feature also translates directly into the settings for job emails. So you can subscribe to job alerts than only get triggered when your criteria where hit for a certain country.

We hope this helps narrow down some job searches a bit and get more precise results quicker.

Short urls for better sharing

We finally introduced a shorter URL version for job ads. The standard URLs generated from the job title can become quite large quickly. Because of this there’s now a way to get a short URL which contains just the ID of the ad, which is enough to get to the same job offer.

This is very practical when sharing the link of an ad or posting it on social media – it frees up quite a lot of characters compared to the full length version.

Check out the ‘Copy & share’ button in the bottom of every job ad. When you push that button a short link to the job listing shown is beeing copied to your local clipboard ready to share it wherever you like.

That’s already it for this time. Thanks for stopping by and see you soon again 😉

Experience level filter and salary estimates

ai-jobs.net — Tue, 15 Mar 2022 10:20:13 +0000

We noticed that there is an increasing demand with job seekers for entry level roles in particular, and since we had experience levels as attributes on most jobs ads already, we now added an additional filter for this. It has been added to the job email form as well.

That way it’s easier now to match results by experience level, which actually makes a lot of sense for candidates and recruiters alike.

Salary estimates are live now

We also manged to launch our salary estimates in job list and detail views – finally, yay! It shows a suggested salary range for all jobs where there’s such info missing, and where we’re able to match certain attributes of the role with the data available in our salaries database.

When there’s a match you’ll see salary range values (in USD for all matched listings) attached to the job ad marked with an asterisk ‘*’. This indicates that it’s an estimate and only for guidance and not salary info submitted by the hiring company.

Of course this should be taken with a grain of salt as we don’t have enogh data yet to make this super-accurate. But if you like, you can help us (or nudge your colleagues) by anonymously submitting your salary info to the database (it’s also in the Public Domain, so everyone benefits): salaries.ai-jobs.net

We’re currently trying to keep or even increase the pace of improvements and future changes to our job platform, so stay tuned and thanks for using and recommending ai-jobs.net 😉

The post Experience level filter and salary estimates appeared first on ai-jobs.net Insights.

A first update on our AI/ML/Big Data salary survey

ai-jobs.net — Tue, 28 Sep 2021 05:55:30 +0000

🎉 We have a little update on our salary survey which we launched roughly three months ago (check out https://salaries.ai-jobs.net/ if you haven’t yet) and needless to say we’re still pretty excited about it.

About four weeks after the launch we enabled the download feature on the site so everyone can get the latest dataset in JSON and CSV format. Furthermore there’s now a weekly sync of these results to a dedicated github repo as well.

As initially announced, but not yet implemented during that time, we built our own FX data API to provide free and public currency data (yes, you can use it as well if you like!) for the Forex calculations taking place on the dataset in the salary_in_usd column. This is because we allow people to fill in their annual salary in their home or actually paid out currency and then do the work for you to translate that into its corresponding USD amount (yearly average) for better comparability/reference, with data provided by the Bank for International Settlements (🏦 the bank for the central banks, basically).

Well, it’s always fascinating how much effort can go into something seemingly simple like a salary survey (hint: way more than you anticipated). But still, it looks like it’s worth the effort.

We also put in some more descriptive information on the download page about what each column in the dataset represents or how to interpret it. Should be pretty straight forward by now, and hopefull very easy to work with.

Now the plan is to keep this site up there indefinitely for the future to collect remote work salary information year by year on an ongoing basis. With this in mind it should be a good reason now to share this with your colleagues and friends if you haven’t done so yet. 😉

It’ll be very interesting to see how much data we can gather in the long term, and also keep in mind that all this is in the public domain (though mentioning the data came from us would be nice and also increases the amount of data available to share). Meaning it’s free to use by anyone for anything. 🙂

Last but not least: Many thanks to all of you who filled out the survey form and shared the site with others. That’s pretty awesome! 💪

The post A first update on our salary survey appeared first on ai-jobs.net Insights.

7 Slack communities about AI/ML/DS to join in 2021

ai-jobs.net — Mon, 02 Aug 2021 13:30:41 +0000

If you want some diversion from reading papers and researching new trends in the Big Data space on your own, then joining communities is a nice short-cut and sometimes very productive alternative for you to learn or create new connections with some fellow professionals.

Here are some additional reasons why it can be beneficial to join these online communities:

Collaboration – It allows members to collaborate and to discuss with other professionals in areas in which they want to either clarify or to gather some insights that would help them expand their knowledge. A collaboration channel is available for members to post questions, answer questions or read insights that might be beneficial to them, i.e. articles or websites that can be used for learning or training, new concepts or approaches that are effective and efficient to use.
Camaraderie – Sometimes working alone bothers and disrupts our mental health, so another good thing about these communities is that they can promote conversation with other members and foster new relationships with comrades or future co-workers whom we can relate to, not just solely regarding work topics but also our frustrations and other sentiments about our profession, clients, trends, etc.
Feedback – These communities also provide a channel for learning members to get insights and feedbacks about their technological approaches, strategies and ideas. The insights or critique they get from other members can help them improve and enhance their work, projects or even startups.
Career opportunities – They can provide access to job opportunities most especially to those who are actively seeking for jobs in AI/ML or Big Data positions. They usually have a specific channel made for members to post vacancies that other members then can apply for directly.

Here are 7 free and open Slack communities you join right now:

Watson developer community

https://wdc-community.slack.com/ (https://wdc-slack-inviter.mybluemix.net/)

This community gives you access to detailed developer resources and more to help you getting started with the IBM Watson toolchain. This includes documentation, SDKs on GitHub and other collaborative tools to help you with the integration.

AI Researchers and Enthusiasts

https://ai-researchers.slack.com/

This community is a medium for researchers and enthusiast to exchange theories and concepts about Artificial Intelligence. This community is also open for all levels of research.

DSNet – Data Science Network

https://dsnetorg.slack.com/ (http://dsnet.org)

Data Science Network is of the fastest-growing data science communities that is run and supported by Jovian.ml. This community provides a medium for you to exchange insights and learn from others through events and open channels as well as open resources.

R- Team for Data Analysis

https://r-data-team.slack.com/ (https://slofile.com/slack/r-data-team)

R-Team is a supportive community that promotes both camaraderie and collaboration by learning and exploring the R language for data analysis and statistics. If you are interested in learning about R and its surrounding ecosystem of libraries this community might be perfect for you.

Papers with Code

https://paperswithcode.slack.com/ (https://paperswithcode.com/)

Papers with Code from the name itself provides an open resource of Machine Learning papers, code snippets, and evaluations for scholars, scientists or data enthusiast. This is a great community especially for those who are looking for novel research in this area to learn and adapt from for their own studies and/or research projects.

Python Developers

https://pythondev.slack.com/ (https://pythondevelopers.herokuapp.com)

A community of python developers that collaborate and share insights about python. This is also a good community that could help you if ever you have issues on your py scripts or if you want to know more about python.

DataTalks.Club

https://datatalks-club.slack.com/ (https://datatalks.club/)

DataTalks.Club is an online community that provides a medium for data enthusiast that would want to collaborate and learn more about applied data science, machine learning, data engineering and many more. If you are interested in these topics, then this community is perfect for you. You can also discuss career opportunities and join weekly events.
If you want more

If the above list isn’t enough for you and you want to join a few more (including smaller and non-free) or slightly different communities, visit Slofile https://slofile.com/ to search for more.

This post was originally published under https://insights.ai-jobs.net/7-slack-communities-about-ai-ml-ds-to-join-in-2021/

The 10 most in-demand jobs in AI/ML and Big Data

ai-jobs.net — Tue, 27 Jul 2021 06:23:40 +0000

We thought it would be interesting to go deeper into the analytics part of running our AI/ML/DS job board – in the most privacy focused way for our users, of course. So here we are now starting to expose some of our aggregated internal job data in a systematic fashion through a simple REST API with a list of generalized job titles that are posted on ai-jobs.net.

The cool thing with this is that we are able to see what’s popular in terms of the roles employers are hiring for most often in the AI/ML and Big Data space.

Our “methodology” here is quite simple: we’re primarily counting the occurence of job titles over the last 12 months, cleaned and adjusted for certain specialties that some companies like to do, e.g. inventing their own stuff that’s not being used by anyone else or adding crazy super-specific details to a vacancy title and so on. We also left out many titles with indicators regarding seniority or other requirements as we already have dedicated attributes for these. More on that probably in a future post.

So here it is, our current (as of June 2021) top list of the ten AI/ML/Big Data roles with the highest demand from employers on our site:

Data Engineer
Data Scientist
Data Analyst
Machine Learning Engineer
Big Data Engineer
Principal Data Scientist
Staff Data Engineer
Marketing Data Analyst
Data Engineering Manager
Lead Data Scientist

If your interested in the raw JSON data you can find the endpoint here: https://ai-jobs.net/api/list-job-titles/

The results there are updated every 6 hours, although it won’t really change that much anytime soon. And if it does we’ll maybe write about it 😉

We also use all the job titles from that list for our brand new salaries survey to have a “standardized” selection of positions to choose from and attach salaries to. You can check out the survey – and the resulting dataset being released in the public domain – here: https://salaries.ai-jobs.net/

This post was originally published on June 1, 2021 under https://insights.ai-jobs.net/the-10-most-in-demand-jobs-in-ai-ml-and-big-data/

Share your salary and see what everyone else is making in the AI/ML and Big Data sphere

ai-jobs.net — Fri, 16 Jul 2021 05:54:24 +0000

We were wondering quite recently what the global salary landscape in the Deep Tech and Big Data world would look like. Searching around for some data provided few results and basically all of them didn’t provide a full dataset for us to play around with and use freely.

So we decided to set up our own survey, ask the whole AI/ML and Big Data scene what they’re making anually, and then release all the data for free afterwards in the public domain under CC0 license terms. Which literally means global salary data from the public, for the public.

We went on quickly by defining some generalized attributes that would make a really simplistic survey everyone can fill it out in under a minute and don’t have to think too hard while doing it, but would still provide as much valuable information as possible so you can derive real insights from it. All of this in an anonymized fashion, of course. We don’t like touching PII anyways – not really our business 😉

It took almost two weeks of deliberations about what to ask for – yeah it gets quite difficult when you start thinking about what makes sense and trying not to mess it up completely – and in roughly a weekend our little salaries app (Django + SQLite are your friends, yay) was built and ready to launch.

🎉 Released a few weeks ago you can check (and fill) it out here: https://salaries.ai-jobs.net/

As soon as we have a little valid dataset and solved some open issues along the way (noticed we provide a selection of the 30 most used currencies in global trade? Probably some averaged conversion into USD for all non-USD salaries would be nice having added to the data as well 🤔) we’ll release a first dump of the data here.

In the end we think it would be great if we can manage to create a sort of rolling survey throughout the year with a constantly updated dataset that everyone can use as they wish – candidates, recruiters, hr departments, startup founders, data scientists, you name it…

We made everything a select/choice field to avoid free-form input in general, except for the salary value of course. The job titles are the ones that are popular on our AI/ML/Big Data job board, just to stay real and not list decades old jobs that practially don’t mean anything and aren’t even hired for anymore. We provide an open API for this too (see https://ai-jobs.net/api/list-job-titles/).

If you like the idea and want to help us to gather a free and open database of AI/ML/DS salary information, feel free to share this survey with anyone who likes to fill out salary surveys – just kidding – the more data the better obviously 😉

This post was originally published on June 11, 2021 under https://insights.ai-jobs.net/share-your-salary-and-see-what-everyone-else-is-making-in-the-ai-ml-and-big-data-sphere/

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