Monthly Archives: October 2013
Data Journalism Redux
Hi Students, Last week Steve Lohr and Andy Lehren from the New York Times came in to talk about data journalism. Given how amazing that lecture was, I thought you might want more. For more of Andy, you can watch this interview of Andy talking about investigative journalism. For more about data journalism you should check out […]
Data Science as Detective Work
Each week Ethan Rouen, a student in the class, will post on a topic of his interest based on class lectures. Ethan is a Ph.D. student in accounting at Columbia Business School and a columnist for Fortune.com. With Andy Lehren and Steve Lohr speaking to the class this week, I finally have the opportunity to […]
Infographics Tell Stories
Hi Students, I will start with… a map! The map above shows the distribution of slavery in the south, and it’s been making its way around the web. I love this map for a number of different reasons, and if you’re a data nerd you probably do too. First, it’s an old thing that resembles lots of new things. Maps […]
The Nerdiest Detectives in the World
Each week Ethan Rouen, a student in the class, will post on a topic of his interest based on class lectures. Ethan is a Ph.D. student in accounting at Columbia Business School and a columnist for Fortune.com. “Feasibility,” “Restatement,” “Litigation,” “Where,” “Acquisitions,” “Technological,” “Update,” “Words,” “Considered,” “Pooling” Some investigators think those 10 words will help […]
Doing Data Science & Ada Lovelace Day
My book (with Cathy O’Neil), Doing Data Science, is now available on ebook and the print version will be available next week! The book is based on last year’s Introduction to Data Science class. In honor of Ada Lovelace Day, O’Reilly (our publisher) is offering 50% off books by women, and so because we’re women, […]
Mapping Data to Senses
Hi Students, Data visualization leverages the same cognitive processing system that evolved to spot savanna cats skulking in tall grass, recognize emotions in other human faces, and distinguish between food that is and is not safe to eat. We’ve evolved to perceive the world, and as primates, a lot of that perception is visual. The […]
Building Products with Machine Learning
Hi Students, This week Rachel will cover machine learning. I hope you guys love the material as much as I do. Well, maybe not as much as I do… I spent the better part of a decade writing a book on how to build machine learning tools. Since I’ve spent some time thinking about making machine […]
