Need advice on studying ML/DL fundamentals

Seeking Advice
1

Hi, I’m currently studying through this book Pattern Recognition and Machine Learning and have encountered some difficulties around Page 68. I’d like to know if this is a good book for building a solid foundation in machine learning. I have a Bachelor’s degree in Computer Engineering, and after spending time on other books that didn’t seem to work for me, I’m hoping this is the right direction.

P.S.
I really appreciate this book, but I want to make sure I’m on the right track. Any advice would be greatly appreciated. Thank you!

2

It depends on what you want to focus on. Are you looking at understanding matrices, algorithms, or weights? Pick areas that interest you and try to implement them in small projects. You might find it useful to explore the SciKit documentation or even ask ChatGPT for help along the way.

I also found Hopfield’s papers really insightful. They’re a great way to understand the fundamental concepts behind the evolution of AI, especially if you’re aiming to grasp the theory and math foundations.

3

@Fifer
Thank you! My goal is to understand the fundamentals of machine learning with a strong math basis. I want to learn how things work, not just treat it like a black box.

4

Dez said:
@Fifer
Thank you! My goal is to understand the fundamentals of machine learning with a strong math basis. I want to learn how things work, not just treat it like a black box.

I recently found a useful roadmap shared by someone, which could be helpful for you too. Check it out: How to learn Machine Learning? My Roadmap.

5

Dez said:
@Fifer
Thank you! My goal is to understand the fundamentals of machine learning with a strong math basis. I want to learn how things work, not just treat it like a black box.

The entire thread is worth reading, lots of useful information there.