Ep.16 - Machine Learning for Product Managers

Release Date: November 28, 2017

Today our guest is Kate Silverstein, a wicked smart machine learning engineer. (I say wicked because she's from Boston.)

Kate talks about the basics of Machine Learning (supervised vs. unsupervised learning, reinforcement learning), and then we review some product use cases (recommendation engines, SPAM filters, etc.) and describe how these features are powered by machine learning. 

Kate even explains what the hell neural networks are. 

Links mentioned in the episode

Machine Learning for Product Managers

Racist AI (RE: loan application training data)

Clustering

Google Sentiment API associating negative sentiment with certain minority groups

Courersa has a whole class on the Netflix Prize