Validating your data requires asking the right questions and using the right data.
A peek into the clickstream analysis and production pipeline for processing tens of millions of daily clicks, for thousands of articles.
What data scientists need to know about production—and what production should expect from their data scientists.
Best practices and scalable workflows for reproducible data science.
Putting deep learning into practice with new tools, frameworks, and future developments.
Drew Paroski and Gary Orenstein on the rapid spread of machine learning and predictive analytics
Max Shron and Sasha Laundy explore tactics for need-finding and problem scoping that make it possible to put investments in data to profitable use.
Learn how your company can significantly improve procurement analytics to solve business questions quickly and effectively.
Why big data isn’t easy, cheap, or quick.