Brian Granger – ODSC West 2015 Keynote

Brian Granger –...

Bio: Brian is an Associate Professor of Physics and Data Science at Cal Poly State University in San Luis Obispo, CA. He is a leader of the IPython project, co-founder of Project Jupyter and is an active contributor to a number of other open source projects focused on data science in Python. He is a […]

How I Became a Data Scientist

How I Became a Data ...

Abstract: This non-technical talk will describe how the presenter transitioned from a software developer in a corporate IT to a data scientist in a startup, with a focus on the practical lessons learned and interesting points observed along the way. Bio: Owen Zhang is the Chief Product Officer at DataRobot, and is ranked #1 on […]

Nina Zumel & John Mount – “Prep Data for Analysis in R”

Nina Zumel & Jo...

Abstract: Data quality is the biggest determiner of data science project success or failure. Preparing data for analysis is one of the most important, laborious, and yet neglected aspects of data science. Many of the routine steps can be automated in a principled manner. This workshop will lay out the fundamentals of preparing data and […]

Dan Von Kohorn – “…Using Data for Investment Management & Trading”

Dan Von Kohorn ̵...

Abstract: We will briefly survey industry trends and techniques for using data to inform portfolio management and active trading. Bio: Dan Von Kohorn co-founded v2 Ratings, a quantitative investment ratings firm serving hedge funds and institutional investors. v2 Ratings integrates economic models with machine learning to rate securities based on risk-adjusted relative value. Dan is […]

Jesse Johnson at BDF 2015 | “From Hyperbolic Geometry to Data Clustering”

Jesse Johnson at BDF...

Abstract: Many of the ideas and algorithms involved in machine learning/data science can be thought of as discovering geometric patterns and shapes in a collection of data points. From this perspective, common data science problems can be translated into geometry problems, and solved with (abstract) geometric tools. In this talk, I will explain how ideas […]

Steve Gallant | “Using Free Text for Predictive Modeling”

Steve Gallant | R...

Abstract: This is an introductory overview of how to efficiently represent text (and images) for predictive analytics. Applications include Sentiment Analysis, classifying news stories or emails, building marketing models (acquisition, churn), and anomaly detection. The key technique is how to transform text (of varying length), as well as sentence or document structure, into a single, […]

Diego Klabjan at BDF 2015 | “Personalized recommendations from web events in Spark”

Diego Klabjan at BDF...

Abstract: On a web portal users bid for projects, each one – users and projects – having many features. Due to a large number of projects at any point in time, only specific projects should be recommended to a user to potentially bid on on a daily basis. Because of the large size of underlying […]

Christina Qi at BDF 2015 | “Fast and Smart: A Paradox in Quantitative Trading”

Christina Qi at BDF ...

Abstract: Domeyard is a low latency trading firm. This talk presents a common paradox in the context of quantitative trading and how advancements in technology can confront this problem. Bio: Christina Qi co-founded Domeyard LP, a quantitative hedge fund based in Boston. Domeyard leverages computational models to execute trades at extremely low latencies, deploying capital […]

Patrick Surry at BDF 2015 | “Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket”

Patrick Surry at BDF...

Abstract: Buying a plane ticket is a time-consuming and frustrating process that often leaves the consumer unhappy. Flight prices are less transparent and fluctuate more than almost anything else a consumer buys, even though airfare is one of the most expensive purchases for a typical family. On average, consumers spend almost two weeks comparison shopping […]