Daniel Gerlanc

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.

Previously (1):

Mastering Machine Learning Fundamentals

This workshop will define what machine learning is, review some of the main tools used today, and discuss how they can be implemented in real world work.