Screenshot of article by Brian Christian from Wired magazine, The A/B Test: Inside the Technology That’s Changing the Rules of Business from April 2012
Dear Students,
I want to address explicitly why Causal Modeling and Experiments are part of this course. The last two lectures have addressed observational studies and causal modeling and a bit on experiments. […]
Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. This week in Rachel Schutt’s Data Science course at Columbia we had Ori Stitelman, a data scientist at Media6Degrees. We also learned last night of a new Columbia course: STAT 4249 Applied Data Science, taught by Rachel Schutt and Ian Langmore. More information can […]
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.
Each Tuesday, Eurry Kim, a student in our class, picks one example of data visualization to share with us. Eurry writes: This past Thursday and Friday, I was able to volunteer at the Visualized Conference where I met and heard some interesting perspectives on data visualization. From Shan Carter (http://nyti.ms/XvM9BX) to the WNYC Data News Team (http://wny.cc/W28uBW), […]
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 […]
Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. This week our guest lecturer was David Madigan, Professor and Chair of Statistics at Columbia. 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 University […]
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 […]
