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.
Boston
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.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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