Contributor profile

James Le

Data Scientist Limbik

I tutor: Best practices

Biography

James Le is a Master student studying Computer Science at Rochester Institute of Technology. His intended research will focus on Computer Vision using Deep Learning. He is also a freelance data scientist/data journalist, specializing in Machine Learning, Recommendation Systems, Data Analysis, and Data Visualization.

Content by James

Best practices
World Cup data journalism

Still running high on football fever, we brought you a special edition of Conversations with data, to look back at a tournament full of inspiring data journalism.

Best practices
9 questions about the World Cup, and how data journalists answered them

The 2018 World Cup might be over, but that doesn’t mean we can’t enjoy the data journalism that it inspired. We collated a full roundup of data journalism that dissected, predicted, and queried the World Cup.