DEV Community: kiransamsam

How to pass Certified Cloud Security Professional (CCSP) Exam?

kiransamsam — Fri, 25 Feb 2022 08:45:20 +0000

Cracking the certifications can be difficult but you can pass through easily using the right strategy and right set of resources. These kinds of certifications are widely renowned and are used to showcase the candidate’s skills. One such certification exam by (ISC)² and the Cloud Security Alliance (CSA) is the Certified Cloud Security Professional (CCSP) credential built to ensure that cloud security professionals have the required knowledge, skills, and abilities in cloud security design, implementation, architecture, operations, controls, and compliance with regulatory frameworks. So, enroll in CCSP Course to pass Certified Cloud Security Professional (CCSP) Exam

Is Google considered to be artificial intelligence (AI)

kiransamsam — Sat, 26 Jun 2021 09:51:54 +0000

No, Google can't be considered to be an AI (Artificial Intelligence). It's anything but a very huge MNC which offers various innovation services to everyday citizens and organizations. Google utilizes AI or Artificial Intelligence innovations to broaden their already great offerings and services that will empower our lives and will help make all the information organized and effectively available. Furthermore, that is actually what Google's main goal is; "to make the world's information organized and effectively available" This organization has been profound into AI, for over several years now, and has gained most extreme traction and carried out these fruitful ventures to further fuel the growth of their services.

Google is determined to bring General AI to life and to assemble Google Brain. Starting today, everyone is utilizing Task-explicit AI, which is programmed to learn and apply the information it gained to do a job effectively with no form of human intervention. However, General AI will actually want to learn without anyone else, take choices without help from anyone else, and develop itself, which will totally mirror the individual's brain. Google executes subsets of AI, similar to Machine Learning (ML), Deep Learning, NLP into its services, similar to Google Search, YouTube, Google Assistant, and so on

If you are excited about AI and wish to make a career in this domain, I recommend enrolling in a good Masters In Artificial Intelligence in India from Intellipaat

What is it like to be a data scientist at Accenture

kiransamsam — Sun, 20 Jun 2021 10:09:43 +0000

Accenture is an exceptionally well known Fortune 500 MNC that sells counseling and handling administrations across the world. It's anything but a significant lump of representatives in India, a lot bigger than the USA and Australia, and is focused on giving the best advantages to its workers. Data Scientist is the hottest occupation on the planet, as per HBR. On the off chance that you are intending to join Accenture as a Data Scientist, I recommend you go on, as per the worker's audits, Accenture is perhaps the best organization to work for, gives you a fair compensation, offers balance between fun and serious activities, great work-culture, and so on And everything relies upon the undertaking which you get. A decent venture gets great experience and terrible tasks acquire productive focuses that you could work out.

When you join Accenture as a Data Scientist, whenever discovered you are deficient with regards to specialized skill, you should go through preparing by means of Big Data Academy which highlights coursework and tests, and you need to finish and meet all requirements to turn into a Data Scientist inside Accenture. And you could get yourself prepared and qualified, to upskill yourself, at customary stretches, and you will have probably the most demanding preparing to go through. In any case, in the end, your experience changes with projects.

On the off chance that you wish to fill in as a Data Scientist, get yourself prepared in it. And the most ideal approach to do so will be to try out a Data Science in India course from Intellipaat

What is the connection between data science and artificial intelligence Is it machine learning

kiransamsam — Wed, 09 Jun 2021 09:44:01 +0000

Fundamentally, yes. Data science is the utilization of factual techniques to discover patterns in data.

Machine learning utilizes a similar math as data science however applies it to algorithms that improve all alone. Artificial intelligence is the general field of "intelligence-reproducing algorithms" of which machine learning is at the main frontier right now. Data science assists with the "co-relation" of data, consolidating numerous data focuses to get significant information from a tremendous measure of data. A machine, with such capacities, will make for a decent starting point for artificial intelligence. On the off chance that you need a detail clarification of Data Science, do look at Intellipaat's blog which will help you in understanding DS.

You can get an involved project by referring the accompanying Learn Data Science Courses by Intellipaat which will encourage you Data Science from scratch which will help you in mastering in the field of Data Science

What are the Applications of Computer Vision

kiransamsam — Wed, 09 Jun 2021 08:39:42 +0000

Computer Vision is a field of AI that assists with training computers and machines to capture pictures, interpret and understand the setting of different items and their exercises. There are a humungous number of uses that is conceivable through Computer Vision, and some of them have been recorded beneath for your reference:

Customer tracking and then some.

Burglary Detection

Productivity Analysis

Self-governing Cars

Quality Management

Retail industry

Monetary Services

Healthcare

Agriculture, and so on

There are several more uses of Computer Vision that you could discover in everyday lives, and a lot more applications have been planned for the coming days. As the speed at which these advances are driving is quick and is attached with the speed of development. On the off chance that you are amped up for Computer Vision and are aiming for certification in this field, then, at that point I recommend you to Learn Artificial Intelligence course from Intellipaat. Furthermore, in the event that you are an amateur in this field yet have little information on the basics, then, at that point I recommend you watch the accompanying video on Computer Vision Tutorial and begin

How can I become a data scientist when I know nothing about machine learning

kiransamsam — Mon, 17 May 2021 07:21:26 +0000

AI is just one of the approaches to get into Data Science. Above all else, you need to really have the enthusiasm for this space to prevail in it as it requires difficult work and a great deal of training. You will as of now be most of the way there. Other than Machine Learning, you could begin seeking after Data Science with any of the accompanying referenced abilities

Programming in Python

R programming

Statistics

Big Data Hadoop

SQL Database/Coding

Apache Spark

Multivariable Calculus & Linear Algebra

Unstructured Data

Data Visualization & Communication

On the off chance that you have no related knowledge at all, you can begin with Python as it is a simple language to learn. There are a few assets that you can go to effectively seek after Data Science.

Postgraduate education - Data Science, Statistics, Mathematics, and Computer Science programs

Web based Learning Platforms – Intellipaat, Coursera, Udacity, codeacademy, and so on

Certificates – Intellipaat, Simplilearn, Coursera, and so on

Bootcamps

Networks like Kaggle – Kaggle is a Data Science people group that has rivalries where you can work with true data and give genuine business answers for issues. It is viewed as significant, hands-on project work.

LinkedIn Groups – Join important gatherings to associate with the data science local area individuals on LinkedIn.

Confirmations are an extraordinary method to begin your Data Science profession. Intellipaat's Best Online Data Science Courses has been intended for applicants in a joint effort with IBM. It incorporates a few continuous ventures also the chance to get situation help to apply to top MNCs all throughout the planet

Is there a comprehensive list of machine learning algorithms

kiransamsam — Sat, 01 May 2021 09:09:08 +0000

Machine Learning is a subset of Artificial Intelligence (AI) that helps various software applications become equipped for predicting accurate results without the requirement for any human interference. Machine Learning algorithms utilize past business data to train themselves and learn to predict new results dependent on the data provided.

Machine Learning can largely be separated into the accompanying three categories:

Supervised learning: In this, professionals provide algorithms to the framework with training data that is marked, Here, they characterize those variables that they wish to survey for any correlations utilizing the algorithms. Furthermore, the information and the yield data of the algorithm are characterized.

Unsupervised learning: In this, algorithms are trained utilizing unlabelled data. The ML algorithm look over business information to extract important data and relationships. Moreover, the data set utilized for training, and the predicted results are pre both predetermined.

Reinforcement learning: This sort of Machine Learning instructs machines to complete multi-step processes that have a bunch of rules characterized. Professionals create algorithms to finish the necessary undertaking and give signals while understanding how to finish the errand.

Referenced beneath is a rundown of the comprehensive arrangement of Machine Learning algorithms:

Supervised learning

Clustering

Model determination

Regression

Processing

Dimensionality reduction

Along these lines, without burning through any time, get a head start in your career and pursue our Machine Learning Course for Beginners at Intellipaat

How does the experience of a data scientist at a start-up differ from a data scientist at a large company

kiransamsam — Sat, 01 May 2021 07:32:50 +0000

Data Scientists are popular across the globe and are needed in bigger associations, and more modest new businesses, similarly. In any case, there is an immense distinction in the way, Data Scientists work in both these organizations. In view of the basic distinction between a startup and a bigger firm. And that is the absence of funds in more modest new businesses, contrasted with bigger organizations. This outcomes in Data Scientists in a new business should work more, contrasted with their partners in bigger organizations. That is a benefit for those experts who wish to find out additional, and need to increase their abilities in the area since they once in a while should play out a wide range of work with the data, going from data assortment, cleaning, handling to performing investigation, and so on

Though, in the event that you are utilized in bigger organizations, you will be restricted to a group, where you should play out a similar undertaking more than once, presumably with a similar group. And you will become less however will in the long run have less work. Along these lines, experts who are searching for additional approaches to learn and advance, I suggest you pick a startup, instead of thrusting straightforwardly into bigger organizations.

In the event that you comprehended the essentials well you will ascend in the area, rapidly, in the event that you wish to learn, get prepared, and guaranteed in Data Science, look at the Python for Data Science confirmation course from Intellipaat

how does Business Intelligence help companies grow

kiransamsam — Tue, 20 Apr 2021 10:40:22 +0000

In this data-driven period, organizations could fall truly back or lose their piece of the pie since they didn't have significant experiences on what steps to take to improve their effectiveness and decrease their costs. Business Intelligence is tied in with inferring significant experiences that could drive the organization's market and increment their profitability. Business Intelligence assists organizations with developing by working with:

Helps in identifying more up to date approaches to expand net revenue and perceive market patterns.

Following execution and dissecting it with the contenders.

Assists the organization with dissecting their client's conduct and foresee accomplishment alongside identifying more current issues and bottlenecks.

What's more, from multiple points of view, BI could help in causing your organization to develop significantly. Take on a MSBI course MSBI course preparing from Intellipaat and help yourself expertise up in a BI tool to improve your work possibilities

Python and its Frameworks

kiransamsam — Mon, 19 Apr 2021 12:34:48 +0000

Hello all,
I have received a lot of emails and messages regarding python and its Framework. So I decided to write a small blog on it.

Python is one of the famous and broadly utilized programming dialects. It is because of the explanation, it gives an assortment of systems to web advancement, game turn of events, GUI, work area application, and some more. In this part of the Python instructional exercise, you will come to think about well-known systems of Python. Due to its use cases, the demand for Python Course is increasing like never before.

The top three python frameworks are:
1)Qt
2)GTK
3)Tkinter

(1)Qt

Qt is one of the most popular libraries for cross-platform development. It is the main graphical library for the KDE desktop. There have several licenses available with the main ones being for commercial and open-source use. If your application is commercial i.e. closed-source then you must pay for a license to use it. If the application is open source then you can use the GPL license; however, you will be unable to commercialize your program without upgrading the license.
It contains a graphical layout utility that permits the user to drag & drop graphical widgets for quick design of the interface. On the other hand, the developer can hand code the interface layout. It also supports non GUI features containing SQL database access, network support, XML parsing. It is written in C++ but python binding is available via PyQt.

2)GTK

GTK represents the GIMP Tool Kit which is made for the advancement of GIMP picture programming. GTK+ formed into the graphical library that controls the GNOME work area. Gadgets are essential to structure squares of a GUI application.

GTK+ is open source under the GPL permit. At the point when Qt was chosen to control the KDE work area then Trolltech had a restrictive permit for it. Since it conflicts with the free Software idea, GTK was made to allow individuals to utilize the GNOME work area and GTK applications as open-source programming.

GTK doesn't basically have an inherent drag and drop interface anyway the wxGlade utility gives this usefulness. The first GTK was written in C though GTK+ is written in C++ utilizing OOP practices and PyGTK is the Python restricting for GTK+.

3)Tkinter

It is a Python restricting to the Tk GUI toolbox. Tk is the default GUI library for Python improvement because of its expansion in the center Python language. It is the first GUI library for the Tcl language. The Tkinter toolset is very restricted however it is not difficult to get the hang of making it construct basic GUI programs in Python.

It has three underlying format chiefs:

Pack calculation administrator – Manage gadgets in vertical and level boxes

Framework math director – Put gadgets in a two-dimensional network

Spot calculation administrator – Put gadgets on their compartments utilizing supreme situating.

What are special features and advantages of Apache Spark 2.0 over earlier versions

kiransamsam — Mon, 19 Apr 2021 07:53:56 +0000

The unique highlights and benefits of Apache Spark 2.0 over prior forms are:

In this adaptation of Apache Spark 2.0, DataSet and DataFrame APIs are blended.

Apache Spark 2.0 is quicker than its previous forms, with much more spotlight on Parquet and reserving that will help in accomplishing more yield.

Apache Spark 2.0 is the main form that will zero in on ETL, which something the past variants were definitely not.

This variant presented organized streaming and numerous extraordinary highlights. On the off chance that you wish to find out about Apache Spark, I would propose you look at the Apache Spark instructional exercise, and assuming you are wanting to break into this area, I would recommend you look at the Spark Certification Spark Certification from Intellipaat

Importance of Big Data

kiransamsam — Fri, 16 Apr 2021 13:03:59 +0000

The upheaval of data is moderately new. Before the recent years, the majority of the data was put away on paper, film, or some other simple media; just one-fourth of all the world’s put away data was advanced. But now the scenario has been changed. TB’s of data has been creating on every day. So to deal with the huge of data we use the concepts of Big Data for smarter Business decisions. So the employment opportunities have been drastically increasing in Big Data Domain.

I have received a lot many emails regarding Big Data. In this blog, I would like to tell the Basic Introduction & Importance of Big Data. I’m working as a Big Data Engineer and I would recommend taking this Big Data Training which helps me to land a job in Big Data

What is Big Data?

Big Data deals with a huge amount of data, doesn’t matter whether the data has been structured data/unstructured data. There are a lot of companies that deal with big data for their business decisions and insights.
Big Data deal with 3V’s
Velocity
Volume and
Variety
Use of Big Data
Challenges that we face with Big Data
Storing data
Searching data
Sharing data
Transferring data

How to Deal with Big Data?
The problem has been solved by the usage of a Database server called MapReduce.The algorithm divides tasks into smaller parts and those are assigned to several computers, and these computers collect the results to form the final result dataset.

Sectors uses Big Data every day
1)Education
2)Medical
3)Banking
4)E-commerce
5)Social Media etc

Based on the usage the demand has been drastically increasing and can make career in Big Data