Abstract: 

Recommendation systems are fundamental to essentially every business on the planet. From providing the shows and movies you should watch, the books and articles you should read, the products you should purchase, or the people you should date making good recommendations can make or break your business. This workshop will give a general introduction to recommendation systems, as well as introduce practical tools for you to apply recommendation systems to your own use cases. Though the primary focus of this workshop will be to understand the different methods you might use to make recommendations, we will also touch briefly on common difficulties with building effective recommendation systems, how to deploy your recommendations, and how to evaluate whether your recommendations are effective.

● Python and associated libraries;

https://github.com/jbernhard-nw/rec-workshop

Bio: 

Josh has been sharing his passion for data science with others more than a decade. He found his passion for teaching while pursuing a PhD in Statistics at Iowa State University. He then went on to teach graduate and undergraduate courses as a part of the Business Analytics program at the University of Colorado. Before jumping full time into industry, he worked as the Curriculum Lead for the School of Data Science at Udacity, where he built data science courses that train data scientists around the world.

In industry, Josh has used his skills to implement data science and machine learning solutions across industries from tax and auditing to healthcare. He currently works as a Data Scientist at NerdWallet, where he partners with product and marketing to help consumers make all the right money moves.