Obviously I think my Machine learning textbook is pretty good :) However, the current version is admittedly rather hard for beginners. I am actually in the process of writing the second edition, which will ramp up more slowly, making it more accessible to beginners. (I'm also adding new content on deep learning, reinforcement learning, etc.) But it will take me a while to finish (~2 years?).
You can also learn machine learning here: hackr.io/tutorials/learn-machine-l...
In the meantime, there are many good books available. See eg this list: josephmisiti/awesome-machine-learning . One book which I think is particularly good for beginners is Introduction to Statistical Learning, by James, Witten, Hastie and Tibshirani. It has a few references to concepts from frequentist statistics, such as p-values (which you can safely ignore :), and doesn't cover topics such as deep learning or graphical models, but nevertheless it's a good place to start.
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Obviously I think my Machine learning textbook is pretty good :) However, the current version is admittedly rather hard for beginners. I am actually in the process of writing the second edition, which will ramp up more slowly, making it more accessible to beginners. (I'm also adding new content on deep learning, reinforcement learning, etc.) But it will take me a while to finish (~2 years?).
You can also learn machine learning here: hackr.io/tutorials/learn-machine-l...
In the meantime, there are many good books available. See eg this list: josephmisiti/awesome-machine-learning . One book which I think is particularly good for beginners is Introduction to Statistical Learning, by James, Witten, Hastie and Tibshirani. It has a few references to concepts from frequentist statistics, such as p-values (which you can safely ignore :), and doesn't cover topics such as deep learning or graphical models, but nevertheless it's a good place to start.