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I've attempted to do Coursera's ML course, but I am not very good at learning from videos - I much prefer reading a text book and then attempting the problems i
by stable-point 10y ago
I've attempted to do Coursera's ML course, but I am not very good at learning from videos - I much prefer reading a text book and then attempting the problems in my own time.
Are there any recommended text books that one can read from start to finish in order to get a similar introduction to ML?
- iandanforth 10y agoFor the deep learning segment of ML I can recommend the still-being-written text https://www.manning.com/books/grokking-deep-learning https://www.manning.com/books/grokking-deep-learning. Very low math requirement, exercises in Python.
- Notre1 10y agoI think a good book that is closer to Andrew NG's course would be the An Introduction to Statistical Learning (ISL)[1] Depending on your learning style, Data Science from Scratch[2] might be another good option. BTW, neither of these uses Octave like Andrew NG's course does. The first one uses R and the second uses Python. [1]: http://www-bcf.usc.edu/~gareth/ISL/ http://www-bcf.usc.edu/~gareth/ISL/ [2]: http://joelgrus.com/2015/04/26/data-science-from-scratch-first-principles-with-python/ http://joelgrus.com/2015/04/26/data-science-from-scratch-fir...