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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
Community-Specific AI: Building Solutions for Any Audience
With half of the world population online, and spending over 5 hours a day there, online communities are flourishing. It is now easier than ever for niche communities to form: gamers can find other players and form teams, dating adults can find better matches, students of particular subjects can... Read more
Adapting Machine Learning Algorithms to Novel Use Cases
Editor’s Note: Kirk will present his talk “Adapting Machine Learning Algorithms to Novel Use Cases” at ODSC West 2019. If there was a metric for success in the data science profession, it would require a multi-dimensional scoring model. This metric would cover a data scientist’s technical skills and talents,... Read more
What do Popular Movies About AI Get Wrong?
AI has been a popular topic for movies and fascinated audiences for over 60 years. Hollywood hasn’t always gotten it right—in fact, most of the time, they’ve been totally off. What is it about artificial intelligence that entices directors? What are they missing when they create movies about AI?... Read more
Why Should You Do a Data Science Mini Bootcamp?
Companies are ready and willing to hire data scientists and jobs are going fast. So, job-seekers need to make themselves hire-able and stand out in a crowded field. Bootcamps have opened up and become an alternate method for getting the job-skills you may need, however, they still have some... Read more
What Are a Few AI Research Labs on the West Coast?
Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside AI research labs. It’s often from those labs that open source projects are started.  Institutes like Open AI, NASA’s JPL, Google Deepmind, MIT CSAIL, BAIR, The Turing Institute, and Max... Read more