What does it take to do well in competitive machine learning? To really dig into this question, you need to dig into the people that do well. In 2010 I participated in a Kaggle competition to predict the outcome of chess games in the future. It was a fascinating problem because it required you to […]
R is a powerful platform for data analysis and machine learning. It is my main workhorse for things like competitions and consulting work. The reason is the large amounts of powerful algorithms available, all on the one platform. In this post I want to point out some resources you can use to get started in […]
I get a lot of emails asking about how I got interested in machine learning and about my background. I don’t think my story is special or interesting, but I’m happy to share it and honored I’m asked. This post feels a little self-indulgent. I figure it can be the definitive version of my story […]
This post is a spotlight interview with Jhonatan de Souza Oliveira on the topic of Bayesian Networks. Could you please introduce yourself? My name is Jhonatan Oliveira and I am an undergraduate student in Electrical Engineering at the Federal University of Vicosa, Brazil. I have been interested in Artificial Intelligence since the beginning of college, when had […]
It is good practice to have reproducible outcomes in software projects. It might even be standard practice by now, I hope it is. You can take any developer off the street and they should be able to follow your process to check out the code base from revision control and make a build of the […]
The first step in any project is defining your problem. You can use the most powerful and shiniest algorithms available, but the results will be meaningless if you are solving the wrong problem. In this post you will learn the process for thinking deeply about your problem before you get started. This is unarguably the […]
