Dan Gerlanc has worked in data science and analytics since 2006. He spent 5 years as a quantitative analyst with two Boston hedge funds before starting Enplus Advisors Inc, a predictive analytics consultancy. At Enplus he works with clients in different industries to improve existing analytic processes and develop new ones. He has coauthored several open source R packages, published in peer-reviewed journals, and is active in local predictive analytics groups. He is a graduate of Williams College.
Introduction to Data Science and Machine Learning
This workshop will introduce students to data exploration and machine learning techniques.