fbpx
What Your Business Needs to Know About Data Variety
The bigger your business, the more likely your data is…interesting. Old methods of data collection put data in silos across several departments. The computing power to handle data in all its forms wasn’t there, so breaking it up in the name of agile operations was key. Now, we’ve got... Read more
The Bright Side of Technology in Black Mirror
The technology in Black Mirror isn’t actually all about death and nihilism. The British anthology sci-fi show Black Mirror (created by Charlie Booker and Annabel Jones) tackles technology in almost all of its episodes. With a varying degree of realism, implied moral take-aways, and success, the show seems to put technology... Read more
How AI is Changing Creativity, and How You Can Use it Too
The limits and expectations of creativity are always being expanded upon: new tools are being created, new techniques discovered, new artists entering the scene. Now more than ever, AI is being considered in all three of those aspects. It begs the question, how is AI changing creativity? And moreover,... Read more
Machine Learning for Continuous Integration
Editor’s Note: Andrea Frittoli and Kyra Wulffert are presenting their talk“Machine Learning for Continuous Integration” at ODSC 2019 Europe. Continuous Integration and Data As more applications move to a DevOps model with CI/CD pipelines, the testing required for this development model to work inevitably generates lots of data. This... Read more
How to Convince Your Boss It’s Time to Expand Your Data Science Team
Tell me if this sounds familiar. Your job description includes data science and data visualization. You’re the go-to expert for building the architecture and the point person when something goes haywire. You’re expected to make sense of the data lake and ensure it’s labeled correctly. Plus, they need you... Read more
Best Releases and Papers from OpenAI in 2019 So Far
OpenAI is one of the leaders in research on artificial general intelligence, and as such, they’ve put out some pretty impressive content this year. Here’s our picks of the 9 best releases and papers from OpenAI in 2019 so far.  [Related Article: What Are a Few AI Research Labs... Read more
8 Trending GitHub Projects for Summer 2019
GitHub is, without a doubt, the go-to place for repositories in the data science community. As such, we’ve decided to start an open-source data science project series. We’ll round up the best projects we find on GitHub for you to use and learn about. Each is a unique example... Read more
Where is Data Science Heading? Watching R’s Most Popular Packages May Have the Answer
Working as both a journalist and data scientist, I’m in a unique position to report on new tools of the profession as well as use them. I’m always seeking out trends surrounding the arrival of said tools because I feel they speak closely to the evolution of the field.... Read more
How Are We Solving Inequality with AI?
When people talk about artificial intelligence, they often praise it as an unemotional, efficient task manager, and, to an extent, that’s what it is. But when we think about it in bigger terms than Siri or Alexa, we can see real ways people are solving inequality with AI. In... Read more
Interpretability and the Rise of Shapley Values
Interpretability is a hot topic in data science this year.  Earlier this spring, I presented at ODSC East on the need for data scientists to use best practices like permutation-based importance, partial dependence, and explanations.  When I first put together this talk, a lot of it was fairly new... Read more