I have just completed the ML Specialization, what books would you recommend that would further build my foundations strong in ML. I want to get a very thorough understanding of this field. Would also like to mention that I have a CS degree. Please help your brother out here

I think the MLS forum area has a thread that lists some additional resources.

Can you please drop a link to it @TMosh

Were you unable to find the MLS FAQ?

This thread has a link to the FAQ and Resources categories. [image] grin tada Welcome to the Community! Come in and check out these tips from the MLS Mentors! placard Supervised ML: Regression and Classification Hello, my fellow learner! On behalf of all MLS …

Looked at courser’s mls faq, no I couldn’t find it

Not on Coursera, it’s here on the DeepLearning.AI site (see the link I posted in my previous reply).

Here’s a bibliography thread from DLS. You can find that linked from the DLS FAQ Thread , which is also worth a look just in general.

Having recently completed a couple Stanford University SCPD graduate-level courses on machine learning, the most inclusive ML book is the two volume set “Probabilistic Machine Learning: An Introduction” by Kevin P Murphy in 2022. Second choice is “Deep Learning” by Goodfellow, Bengio & Courville. D…

“Introduction to Machine Learning with Python” by Andreas C. Müller and Sarah Guido. Now I am just a newbie in this as you but this was the first ML book I read before ever going much into the theory and I found it very great. It offers a practical guide to implementing machine learning using Pytho…

Book Recommendations for ML

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TMosh June 28, 2024, 6:48pm 5

This thread has a link to the FAQ and Resources categories.

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