What Managers Need To Know About Machine Learning

Dr. Hugo Bowne-Anderson, data scientist, educator, and host of the podcast DataFramed, tells you everything you always wanted to know about machine learning but were too afraid to ask. You'll understand the basic concepts in machine learning, how they can apply to business problems, when to use them and when not to use them, and how to talk the talk with data scientists.  Grounded in real-world examples from finance, healthcare tech, and other verticals, Hugo demystifies the main components of machine learning. You’ll come out knowing what unsupervised, supervised and reinforcement learning are and when to use them. You’ll even know what logistic regression, principal component analysis, and k-fold cross validation are. The language of machine learning will soon be a central part of any decision maker’s toolkit. Stay ahead of the curve and learn it now. 

You can find the slides here.

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp