DEV Community: Ritheesh

Design Decisions for Architecting Production Machine Learning Systems

Ritheesh — Tue, 21 Jul 2020 09:30:15 +0000

What’s the point of building a complex machine learning model if it is not accessible to the end-user? Have you questioned yourself what percent of overall system code does a Machine Learning model record for? It’s like 5%. So what does the remaining 95% account for? Do read the article to know how to design a custom architecture for ML production systems, so that one should able to choose training and serving per paradigm.

https://towardsdatascience.com/design-decisions-for-architecting-production-machine-learning-systems-9c0d66c45dd3

Animatronics with Artificial Intelligence — Brings Unimaginable Results

Ritheesh — Sat, 18 Jul 2020 18:20:37 +0000

Have you ever heard of Animatronics? It is the integration of Animation and Electronics. Imagine what wonders we could achieve with Artificial Intelligence with Animatronics working together. Here's an article that gives a gist of the possibilities we can have access to in case we use it with AI. Hope you enjoy it!

https://towardsdatascience.com/animatronics-with-artificial-intelligence-brings-unimaginable-results-407983acf39

GitHub API With Python & PowerShell Scripting

Ritheesh — Thu, 16 Jul 2020 15:06:22 +0000

To know how to use GitHub API with Python and PowerShell Scripting do read the below article.

https://medium.com/towards-artificial-intelligence/github-api-with-python-powershell-scripting-47d39b5d32d1?source=friends_link&sk=a864ae5d4ae2f96f3ed8cd41f3792170

Google AutoML Vision for Image Classification

Ritheesh — Thu, 16 Jul 2020 15:02:38 +0000

What if I said Google AutoML Vision will solve our problems? Yes, AutoML Vision enables us to train custom Machine Learning models to classify our images according to our own defined labels. It will train the model from labeled images and evaluate the performance. It doesn’t require the user to have any knowledge of deep learning or AI.

To know how to use it and deploy models on cloud or edge, check out the below article.

https://medium.com/towards-artificial-intelligence/google-automl-vision-for-image-classification-503267be6ccd?source=friends_link&sk=03714136de1c85b6714bdcb4c31fd4b1

Top 8 Challenges for Machine Learning Practitioners

Ritheesh — Wed, 15 Jul 2020 05:16:44 +0000

When I started implementing machine learning in realtime, I faced a lot of issues since in some tutorials or courses people start explaining the machine learning models but the reality is different. Bringing a use case to reality became a huge thing.

To all those who want to enter the jargon world of machine learning, there will be some obstacles you need to encounter to develop a stable application. Check out my article to get more insights into it.

https://towardsdatascience.com/top-8-challenges-for-machine-learning-practitioners-c4c0130701a1?source=friends_link&sk=b15317d9f8ff1de6f4a194ca6385f1cb

DevOps RoadMap — How to Get Started!

Ritheesh — Wed, 15 Jul 2020 05:07:19 +0000

When I first started learning #DevOps I honestly had no idea about it, a lot of questions hovered in my mind all the time. A lot of people find it difficult to get started. It was a hell lot of confusion, so I am here to clear your confusion now that my confusion is no more confusion. To Understand DevOps in simple terms, check out my article below.

https://medium.com/towards-artificial-intelligence/devops-roadmap-how-to-get-started-39ce861e15c0?source=friends_link&sk=787383bbad4c98bd6c2d1630949d82f2

GitHub Actions — Makes ‘One Click To Deploy’ Feasible For ML CI/CD Pipeline

Ritheesh — Wed, 15 Jul 2020 04:42:49 +0000

What if I told you “You can automate the process of building, testing, delivering, or deploying your Machine Learning models into production using GitHub Actions”? Do read the article to know how to set up your own workflow!

https://towardsdatascience.com/github-actions-makes-one-click-to-deploy-feasible-for-ml-ci-cd-pipeline-61470ed3edbc?source=friends_link&sk=a90e087d2e25ce614973f1b1075a4439