1
To clarify my inquiry, I’d like to break it down into two parts:
1. Applied ML: What should I focus on when it comes to integrating machine learning into products?
2. Theoretical ML: What should I prioritize regarding the theoretical or research aspects of machine learning?
So far, I have shortlisted two O'Reilly books[1][2] for the applied part.For the theoretical part, I’m considering the fast.ai course[3]
Is this a good starting point, or is there a better approach I could take?
[1] Hands on LLM - https://learning.oreilly.com/library/view/hands-on-large-language/9781098150952/
[2] Applied machine learning and ai for engineers - https://learning.oreilly.com/library/view/applied-machine-learning/9781492098041/
[3] https://course.fast.ai/