Data Science and Machine Learning

In October 2012, the Harvard Business Review published an article calling data science the “sexiest job of the 21st century”, and comparing data scientists with the ubiquitous Wall Street “quants” of the ’80s and ’90s: a data scientist is a “hybrid of data hacker, analyst, communicator, and trusted adviser.

Would-be data scientists are usually introduced to the field via machine learning algorithms and applications. Much could be said about those; the material presented here is not meant to constitute a complete survey of the field (multiple references are provided for the interested reader).

Data Science Report Series #10: Data Science and Machine Learning (Draft), by Patrick Boily, Jennifer Schellinck, and Shintaro Hagiwara.