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#artificialintelligence 

When I was a graduate student in cognitive science, I spent countless hours poring over videos and transcripts of natural language, looking for patterns in the data that could help me better understand how people learn words, concepts, and categories. We support the company's mission to make AI beneficial to everyone by helping educate Googlers and others on how to build machine learning (ML) models that look for patterns in data in order to solve a variety of problems. Back in February, our team shared our internal Machine Learning Crash Course (MLCC) with the world to help more developers learn to use ML. Since then, we've heard from many people who are hungry for more ML education. In particular, you want to learn from teams who have built and deployed ML models.