https://huyenchip.com/ml-interviews-book/
https://github.com/AstronomerAmber/ML_prep/tree/master/Practical_Coding_Challenges
https://workera.ai/resources/machine-learning-algorithms-interview/
https://medium.com/@grohith327
Best way to practice is reading/watching case studies and examples on Blogs and YT.
ML Systems Design Interview Guide · Patrick Halina
Machine Learning System Design (YouTube Recommendation System)
Very high chances that a design question is related to Recommender System.
In-Depth Guide: How Recommender Systems Work | Built In
How to Design and Build a Recommendation System Pipeline in Python (Jill Cates)
https://github.com/Sroy20/machine-learning-interview-questions
https://github.com/ShuaiW/data-science-question-answer
https://github.com/andrewekhalel/MLQuestions
https://github.com/iamtodor/data-science-interview-questions-and-answers
https://github.com/kojino/120-Data-Science-Interview-Questions
https://www.itshared.org/2015/10/data-science-interview-questions.html
How I cracked my MLE interview at Facebook | by Rahul Agarwal | Towards Data Science
Preparing for Machine Learning Engineer role Vs Software Engineer role in India
Google Interview Tips + FAQs Answered + Resources
Technical Interview Questions in Computer Vision
Applied Scientist | Amazon | Hyderabad
HyperVerge AI — Manideep Kolla
What I learned from interviewing at multiple AI companies and start-ups
https://medium.com/@mathieuravaut/cracking-the-machine-learning-interview-baf377b46eca
https://www.geeksforgeeks.org/faster-r-cnn-ml/
Pytorch Implementation step by step
https://medium.com/@fractaldle/guide-to-build-faster-rcnn-in-pytorch-95b10c273439