Category Weekly Wednesday Lectures

Week 14: Student Presentations, Synthesis of Semester

Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. Thank you Cathy for doing such a wonderful job this semester capturing the course in this way, and also for being a respected voice in the classroom, a question-asker and role model for the students. Here’s our class photo, and Cathy’s blog post follows. Cathy’s post captures the presentation done by a subset of students, which represented a collaboration of many/most students in this course, as part of their work for a think piece. More on this to come at a later date. It also captures my synthesis of the semester.

class_photo
In the final week of Rachel Schutt’s Columbia Data Science course, we heard from two groups of students as well as from Rachel herself. [...]

Week 13: MapReduce

Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. The week in Rachel Schutt’s Data Science course at Columbia we had two speakers. The first was David Crawshaw, a Software Engineer at Google who was trained as a mathematician, worked on Google+ in California with Rachel, and now works in NY on search. […]

Week 12: Predictive modeling, Data Leakage, Model Evaluation

Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. This week’s guest lecturer in Rachel Schutt’s Columbia Data Science class was Claudia Perlich. Claudia has been the Chief Scientist at m6d for 3 years. Before that she was a data analytics group at the IBM center that developed Watson, the computer that won […]

Week 11: Estimating Causal Effects

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 […]

Week 10: Observational studies, Confounders, Epidemiology

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 […]

Week 9: Morningside Analytics, Network analysis, Data Journalism

Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. Our first speaker this week in Rachel Schutt‘s Columbia Data Science course was John Kelly from Morningside Analytics, who came to talk to us about network analysis. John Kelly Kelly has four diplomas from Columbia, starting with a BA in 1990 from Columbia College, […]

Week 8: Data Visualization, Square, Fraud Detection

Each week Cathy O’Neil blogs about the class. Cross-posted from mathbabe.org. This week in Rachel Schutt’s Columbia Data Science course we had two excellent guest speakers. The first speaker of the night was Mark Hansen, who recently came from UCLA via the New York Times to Columbia with a joint appointment in journalism and statistics. […]

Follow

Get every new post delivered to your Inbox.

Join 372 other followers