In order of appearance. Updated with new information throughout the semester. Click on the dates to read the blog post for each lecture.
Doug Perlson, CEO of RealDirect.com, case study (9/12)
Jake Hofman, Microsoft Research, Naive Bayes, Scraping and using an API (9/19)
Brian Dalessandro, Media 6 Degrees, Classification, Logistic Regression and Evaluation (9/26)
Cathy O’Neil, mathbabe.org, Time series, Financial Modeling, Advanced Regression, and Ethics (10/3)
Kyle Teague, GetGlue, case study (10/3)
Will Cukierski, Kaggle, Decision Trees, Feature selection (10/10)
David Huffaker, Google, Applying data science in a hybrid research environment (10/10)
Matt Gattis, eBay, Recommendation Engines (10/17)
Mark Hansen, Columbia University, Data Visualization (10/24)
Ian Wong, Square, Fraud Detection (10/24)
John Kelly, Morningside Analytics, Network Analysis(10/31)
David Madigan, Columbia University, Observational studies, Confounders, Epidemiology (11/7)
Ori Stitelman, Media 6 Degrees, Estimating Causal Effects (11/14)
Claudia Perlich, Media 6 Degrees, Predictive Modeling, Data Leakage, and Model Evaluation (11/19)
Josh Wills, Cloudera, Data Engineering (11/28)
David Crawshaw, Google, Data Engineering (11/28)
