Dear Students, Yesterday Gil Press featured our class in his Forbes column, Big Data News of the Week. I’d like to take the opportunity to briefly discuss the ideas discussed in his article, as well my broader struggles with the celebrification of data scientists. Our class in the press I call this to your attention […]
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. […]
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 […]
Each Tuesday, Eurry Kim, a student in our class, picks one example of data visualization to share with us. Eurry writes: I was watching Amanda Cox’s EYEO talk on YouTube a couple of weeks ago and she said something that really stuck with me - There’s this idea that some detail you want to leave […]
This is a guest post by Professor Matthew Jones, from Columbia’s History department, who has been attending the course. Data & Hubris In the wake of the recent election, data people, those that love, and especially those that idealize them exploded in Schadenfreude about the many errors of the traditional punditocracy. Computational statistics and data […]
Each Tuesday, Eurry Kim, a student in our class, picks one example of data visualization to share with us. This week we did it on a Wednesday. Eurry writes: A few people have asked me about my process for building visualizations. It’s kind of flattering! Well, it’s a simple answer and not far from what […]
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 […]
