The Elements of Statistical Learning textbook is available for free. It is a classic, widely-used textbooks for statistics and machine learning. Here is a far from complete list of some of the topics:

Supervised Learning

Linear/Logistic Regression

Regularization

Model Selection

Trees

Neural Networks

Support Vector Machines

Random Forests

Unsupervised Learning

Clustering

As you can see, the book is quite extensive.

Note: This book has been available for a quite a while, but I realized I have not added a link to it on my blog.

Computer scientists discover statistics and find it useful – Ever wonder why computer scientists are getting all the attention for data science? Well, computer scientists stole ideas from statistics. Read the article and it will make more sense.

Microsoft has been doing machine learning for a long time, and it looks like some of those efforts might soon pay off. How do you think this will work out for Microsoft?

David Barber, Computer Science Professor at University College London, is still offering his textbook, Bayesian Reasoning and Machine Learning, for free. This text looks quite extensive. The website also includes matlab code for many of the algorithms in the book.

Given a choice between a “best guess” now, and a “marginally better” answer later, I’d take the best guess every time.

Many times, academic people focus a lot of attention on improving the accuracy of an algorithm, when the resulting solution is too slow for industrial purposes.