I have been mostly using R and languages such as Java/C++ for machine learning, but I am learning how to do more things with Python for that. I am currently exploring Python’s scickit-learn library. It’s kind of cool. As support material, I am going through the examples of Python Machine Learning by Sebastian Raschka.

So far, so good. Mind: the book is not an introduction to ML, even if it offers an overview of topics – there is too much out there-. It is rather a practical book about ML using Python. It helps if you have already used the scikit library.

Some of the chapters I like the most are the one about data processing and dimensionality reduction. I still have to reach the one about Theano.