Same coding questions as an sde with additional 1-3 rounds of domain based interview ( robotics, ML, etc.)

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LeetCode for Python questions, easy gets you past coding rounds at most companies, DataLemur for SQL interview prep, Cracking the PM Interview is good for product data science questions and more open-ended business-y DS case problems. For ML interview questions, just knowing the most important concepts + terminology from Intro to Statistical Learning is good (most interviews ask about classical techniques, so don't worry if you aren't a deep learning pro). Practical Stats is good for Prob/Stat conceptual questions (but doesn't exactly map to what interviews test... unfortunately at FAANG + Wall Street you will find the occasional probability brain teaser).

You can also check out the book "Ace the Data Science Interview" on Amazon, which is like "Cracking the Coding Interview" but for Data Science & ML interviews. It covers all the topics mentioned above, but I'm a tad biased since I wrote the book!

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Don’t worry about Leetcode man, you got bigger fish to fry. Leetcode should be least of your worries tbh. Focus on ML system design especially on the field you come from or from the one you are applying for. Broadly speaking usually it’s  recommender system Fraud detection/Anomaly detection  Or vision/NLP if that is your focus Secondly, for coding try to code up  Linear regression  Logistic regression  knn  Simple neural network  Activation functions  Objective functions In some of those you can use PyTorch but just for autograd (look up questions online) Here are questions https://huyenchip.com/ml-interviews-book/contents/part-ii.-questions.html For ML breadth Brush up your basics can you draw how would the parmeters would  look like for a decision tree with just 2 params?  What about for logistic regression  How do you modify logistic regression for quadratically separable data? This is what you need to study More on reddit.com

Bro this is so difficult and I wanna look for ML roles 😑😑😭😭 All the best buddy More on reddit.com