What is Practical Data Science? Co-hosted with Palo Alto Data Science Foundation

Nina Zumel and John Mount, authors of the book, Practical Data Science with R, will discuss the process of using data to build predictive models. They’ll cover scoping data science projects, effectively consuming machine learning results, how to produce effective data visualization and more. There will be a raffle of their book.

Join us at 6PM for food and drinks. Talk will start at 6:30PM.

BIOS:

Nina Zumel started her advanced education in electrical engineering at U.C Berkeley and holds a Ph.D. in robotics from Carnegie Mellon. She has worked as a scientist at SRI International, as chief scientist of a price optimization company and founded a contract research company. Nina is a principal consultant at Win-Vector LLC a San Francisco data science consultancy. Nina is the first author of Practical Data Science with R, Manning Publications, 2014), blogs about technical issues at http://www.win-vector.com/blog/ , and writes about myths at http://multoghost.wordpress.com.

John Mount started his advanced education in mathematics as U.C. Berkeley and holds a Ph.D. in computer science from Carnegie Mellon. He has worked as a computational scientist in biotechnology, as a stock trading algorithm designer, and has managed a research team for Shopping.com (now eBay). He is a principal consultant at Win-Vector LLC a San Francisco data science consultancy. John is an author of Practical Data Science with R, Manning Publications, 2014), blogs about technical issues at http://www.win-vector.com/blog/, and is active in the San Francisco Rotary.