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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.

Post Author: Patrick Boily

Patrick is interested in the applications of mathematics and statistcs to evidence-based decision support. He has worked on 25+ such projects since 2008. He has extensive experience in data science, machine learning, A.I. and predictive analytics, data cleaning and data visualization.