Understanding Machine Learning: XGBoost As the use of machine learning continues to grow in industry, the need to understand, explain and define what machine learning models do seems to be a growing trend. For machine learning classification problems that are not of the deep learning type, it’s hard to find a more popular library than Read More
Tyler Folkman has been a data scientist at Ancestry since May 2016. Before that, Tyler received his Master’s in Computer Science from the University of Texas at Austin, where he studied statistical machine learning, data mining and AI. Previously, he has worked on statistical modeling and real-time visualization at Amazon, Cognitive Scale, and Charles River Associates. Tyler likes to spend his time exploring novel data sets and posting what he learns on www.learningwithdata.com.