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.
See my comment here plus the other comments in this thread: <a href="https://news.ycombinator.com/item?id=36433289">https://news.ycombinator.com/item?id=36433289</a>
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:
<a href="https://news.ycombinator.com/item?id=36477464">https://news.ycombinator.com/item?id=36477464</a>