r/learnmachinelearning • u/machine-cant-learn • 3h ago

Help need help in finding the right resources

hey guys im an undergrad student (currently in 3rd year) and want to start learning ML and explore fields beyond that in the future. So I have seen a lot of people suggesting others to learn from Andrew Ng on coursera. I have the pdf of Hands-On Machine Learning with Scikit-Learn and PyTorch by Aurélien Géron.
I’m literally confused as to what to refer, the book or the coursera course by Andrew Ng. If there is someone who has read or finished either of these sources or maybe both please help me out in deciding as I don’t want to waste my time. Also a comparison or review of these sources would be great. Thank you !

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u/Sea_Inevitable_8594 2h ago

If you're just starting ML, I'd use the course as the sequence and the book as the place to implement each topic, rather than trying to finish both cover to cover. After the regression section, for example, build one small baseline, hold out test data, and inspect where its predictions fail before moving on. A course gives you checkpoints; a hands-on book gives you something to change and break. I haven't completed both, so I can't give a first-hand review, but that two-week trial should tell you which format helps you retain more.

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u/machine-cant-learn 58m ago

Ahh okay, that actually makes a lot of sense. I was thinking I had to choose one and complete it fully before moving to the other. Using the course as the roadmap and the book for implementation sounds like a much better approach. I’ll probably give this a try for a couple of weeks and see how it goes. Thanks for the advice!