Category Course Logistics

Tonight’s “Guest” Lecturers: The Wonderful Students

Tonight is the last class of the first iteration of Introduction to Data Science. I’m excited for the first half of tonight when the students will take over and deliver their lecture. They’ve sat through the entire semester, now it’s their turn. What do they have to say about Data Science? I’m looking forward to […]

Tonight’s Guest Speakers: David Crawshaw and Josh Wills

Tonight we have two guest speakers, David Crawshaw and Josh Wills, both of whom I’ve had the pleasure of working with at Google. I hesitate to call them “data engineers” because that term is as problematic or potentially overloaded as “data scientist”, but suffice it to say that they’ve both worked as software engineers and […]

Tonight’s Guest Speaker: Claudia Perlich

Claudia Perlich currently serves as Chief Scientist at m6d. In this role, Claudia designs, develops, analyzes and optimizes the machine learning that informs brands on how to find their best prospective customers. She and the team of m6d scientists live and breathe web-wide data to fuel new business and marketplace intelligence. An active industry speaker […]

Tonight’s Guest Speaker: Ori Stitelman; Two Announcements

Tonight’s guest speaker is Ori Stitelman from Media 6 Degrees (m6d). Earlier on in the semester we had his colleague, Brian Dalessandro, speak to us about classifiers, logistic regression and evaluation. Ori will be talking about causal modeling. It will be interesting to think about how your understanding of Data Science has evolved since Brian visited us.

Ori Stitelman is a Senior Data Scientist at m6d. His responsibilities include prototyping methods for improving m6d’s display advertisement targeting product, creating fraud detection tools, as well as developing methods for estimating the causal effect of advertising. Ori received a Ph.D. in Biostatistics from the University of California, Berkeley where his primary research focus was on developing methods for estimating causal effects.

Two Announcements:

(1) Eurry and Kaz won Best Data Narrative in the Hubway Competition! Congratulations!!

(2) As a reminder, next week’s lecture is on Monday night (November 19th) rather than Wednesday night because of the long Thanksgiving weekend.

Columbia University Data Science-y Updates

Dear Students, I want to let you know about the following: (1) Institute for Data Sciences and Engineering: Columbia University’s new Institute for Data Sciences and Engineering has launched a website: http://idse.columbia.edu. The word “Data” also modifies “Engineering”, in case there was confusion. Data Sciences and Data Engineering. (2) Kaggle Competition: As you know, our class […]

Tonight’s Guest Lecturer: David Madigan

Tonight we’re fortunate to have Professor David Madigan for our guest lecturer. David Madigan is Professor and Chair of Statistics at Columbia University in New York City. He received a bachelors degree in Mathematical Sciences and a Ph.D. in Statistics, both from Trinity College Dublin. He has previously worked for AT&T Inc., Soliloquy Inc., the […]

Tonight’s Guest Lecturers: John Kelly and Gilad Lotan

Tonight we have two guest lecturers, John Kelly and Gilad Lotan, both lead scientists at NYC start-ups which focus on the social network space. It will be interesting to see how the two play off of each other, as they’re friends! The bios are below. We’ll spend the last 45 minutes or so in a […]

Tonight’s Guest Lecturers: Mark Hansen and Ian Wong

Tonight we have two guest lecturers: First we have Professor Mark Hansen, the new director of the David and Helen Gurley Brown Institute for Media Innovation at Columbia. Mark joined the Columbia Journalism School in July of 2012, after a decade of shuttling between the west and east coasts. In Los Angeles, he held appointments in the […]

Next Semester: Applied Data Science (Statistics W4249)

Next semester, Ian Langmore and I will be offering a new course, Applied Data Science, in the Department of Statistics: Short description Data scientists wear many caps.  This course presents two from opposite ends of the spectrum.  Coding best practices will be taught using test-driven development, version control, and collaboration.  The Python programming language will […]

Tonight’s Guest Speaker: Matt Gattis from eBay

Matt Gattis specializes in machine learning pertaining to recommendation engines.  eBay acquired the recommendation engine startup he co-founded, hunch.com, where he was the CTO and responsible for R&D.  Currently, he is continuing to develop recommendation engine technology for merchandising at eBay.  Prior to hunch, he worked on heuristics for detecting web security threats at SiteAdvisor, which […]

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