Recorded: August 24, 2017
Spencer Krum shows you how he uses Jupyter Notebooks and IBM Data Science Experience (DSX) to analyze professional StarCraft II matches. He uploads analytics data replay into an IBM DSX Notebook, process it with open source Python, and creates code to graphically visualize complex fast-action player activity at distinct points in the game. To finish off the session, Spencer extracts insights about the winners and losers.
Watch for upcoming IBM Code Tech Talks on our Events page and take a deeper dive into code patterns, processes, tools, and challenges.