[stable-point]

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]

For the deep learning segment of ML I can recommend the still-being-written text https://www.manning.com/books/grokking-deep-learning.

Very low math requirement, exercises in Python.

[Notre1]

I 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/ [2]: http://joelgrus.com/2015/04/26/data-science-from-scratch-fir...