As 2017 comes to a close, it's time to look forward at what's ahead in the wide world of data science. While last year was the year that the idea of deep learning really began to make its way into the mainstream, the coming year will be about how to make deep learning better, faster, and stronger (but not "harder" – in fact, the goal is quite the opposite. Here are our top four data science trends to watch in 2018 (click for larger image). Read on for a full breakdown or get the PDF version here. Automated machine learning (ML), i.e., the ability to automatically search in the feature transformation and model space, will become a commodity.