KIM FALK is a data scientist who is experienced building data-driven applications. He’s passionate about recommender systems and machine learning in general. He has trained recommender systems to provide movie choices to end users as well as ads to people, and has even helped attorneys find case law content. He’s worked with Big Data solutions and machine learning since 2010. Kim often speaks and writes about recommender systems. You can find him at http://kimfalk.org.
When he isn’t teaching machines to stalk people, Kim is a family man, father, and trail runner with his German Pointer.