Scikit-learn is one of the most popular data science tools in the world, and we wanted to learn more about how it's made. We spoke with Olivier Grisel, a full-time open source developer and one...
Recent Posts
Egg-Not-Egg Deep Learning Model
We’re really excited about our upcoming EGG Paris and EGG NYC conferences next week. There will be data science experts running demos, talks and use cases from industry leaders, and lots of...
Don’t Use AI When BI Will Suffice!
Artificial Intelligence (AI) offers organizations immense power, from predictions to recommendations to smarter decision making - but organizational resistance to this shift is a huge problem....
Open Source Deep Dive with Olivier Grisel
We all know that open source is critical to data science, but we wanted to learn more about the process of creating these tools and the motivation driving the impressive people building them. Most...
How AI Can Help Cope with Data Scientists’ Boredom
Data scientist churn is a big problem, and it’s not getting resolved through cushy perks and office snacks. Often the role can be repetitive and frustrating, and since data scientists are so...
From Project Manager to Data Champion — Conquer Your Data Projects
Project Managers are experts at adaptation and evolution. They know how to keep their team on track and on budget, while encouraging creative problem-solving. They have contingency plans for their...
All About Open Source
While many open source offerings fall outside the domain of data science, everyone knows that there is an open source tool (or twenty) for every data project. That's why we commissioned 451...
A Three Month Data Analysis in Excel Could Have Taken Me One Day
This is the story of my literature thesis, which ran data analysis on short stories, and that I worked on to graduate with a B.A. in English this past May. It took me 10 laborious months of...
Data Projects WILL Fail - Learn to Fail Quickly & Efficiently
In case you haven’t heard, a whopping 85% of big data projects fail (we’ve already talked about why). But data science is an inherently risky endeavor, so the challenge today is not how to avoid...
