Tools and Techniques
This best practices guide is a nice collection of practical tips for applying Machine Learning in the real-world. This was written by Martin Zinkevich, a Google Research Scientist, and is intended for a broad audience of Machine Learning students and engineers.
Building a data team is a challenge anywhere but there are some questions that startups, in particular, have to consider. This is a great Quora answer by Monica Rogati, a former data scientist at LinkedIn and VP of Data at Jawbone.
There are a lot of tutorials about how decision trees work. Here's why they work.
This is the final post in a popular series about building a Data Science Portfolio.