I'm currently a Software Engineer looking to transition to Machine Learning. I know a lot of people recommend Andrew NGs course as a first step towards Machine Learning. There are so many resources out there and so much information it's difficult to understand where to begin and how to proceed. I wanted to hear from someone in the field what's the best track to becoming a Machine Learning Engineer?
"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd ed." by Aurélien Géron (2022), published by O'Reilly, is one of my favorite technical books ever. It was published before LLMs became hot.
I believe the math background is quite important in ML, and having a good understanding of it from the beginning helps tremendously.
You can check my answer from before here:
https://news.ycombinator.com/item?id=36477464
