Dogs vs. Cats Redux Playground Competition, Winner's Interview: Bojan Tunguz

The Dogs versus Cats Redux: Kernels Edition playground competition revived one of our favorite "for fun" image classification challenges from 2013, Dogs versus Cats. This time Kaggle brought Kernels, the best way to share and learn from code, to the table while competitors tackled the problem with a refreshed arsenal including TensorFlow and a few years of deep learning advancements. In this winner's interview, Kaggler Bojan Tunguz shares his 4th place approach based on deep convolutional neural networks and model blending. I am a Theoretical Physicist by training, and have worked in Academia for many years. A few years ago I came across some really cool online machine learning courses, and fell in love with that field.