Topic: Machine Learning

Machine learning is what first attracted me to data science as I finished my PhD. The ability to train a machine to do a better job at certain tasks than a human was awe inspiring. My articles about machine learning can be found here:

Using Scikit-learn Pipelines with Pandas Dataframes
Pandas and scikiet-learn are two important libraries for building machine learning models. Here is how to get them to work together.
Computing Machine Learning Features in Real-time
Models often derive great value from real-time features, but computing them is hard because it has to be done quickly. Here is one way I have done it successfully.
Machine Learning Deployment: Shadow Mode
Deploying machine learning models is hard; Shadow Mode is one way to make testing a little easier.
Interview Question: What Machine Learning Metric to Use
One of my favorite questions to ask in an interview is "What metric should you use to decide if your model works?". Read on to find out what a good answer looks like!
SAT2Vec: Word2Vec Versus SAT Analogies
Could Word2Vec pass the SAT analogies section and get accepted to a good college? I take a pre-trained model and find out!