Practical Data Science with R

Practical Data Science with R authors Nina Zumel and John Mount

6:30 Doors open - socializing & individual questions

7:00 Announcements & Introduction

7:10 Speaker(s)

8:30 Wrap up & socializing

9:00 Out the door!

Data Science is the current popular term for the entire process of using data to build predictive models. The process includes: requirements gathering, data architecture, design of experiments, statistics, machine learning, software engineering, and presentations. Nina Zumel and John Mount will talk about their new book: Practical Data Science with R (Manning Publications Co, 2014). This book is designed to teach how to solve business analytics problems using repeatable techniques with the R statistical workbench. From this talk you should get a basic familiarity with good ideas used to:

• Effectively scope and organize data science projects
• Be an effective consumer of machine learning results
• Choose among important model performance criteria
• Produce effective data visualizations

This talk should be of interest to both those who work with data scientists and to practicing data scientists. There will be a book raffle and discount codes from Manning Publications Co.

Nina Zumel has worked as a scientist at SRI International, an independent, nonprofit research institute. She has worked as chief scientist of a price optimization company and founded a contract research company. Nina is now a principal consultant at Win-Vector LLC. Nina is a frequent author at http://www.win-vector.com/blog/ and can be reached at nzumel@win-vector.com.

John Mount has worked as a computational scientist in biotechnology and as a stock trading algorithm designer, and has managed a research team for Shopping.com. He is now a principal consultant at Win-Vector LLC. John is a frequent author at http://www.win-vector.com/blog/can be reached at jmount@win-vector.com.