Complexity Control in ML

Free
Date
February 17, 2023
TimE
9.30PM IST
 (IST)
11.00 AM EST
 (PST)
11.00 AM EST
 (EST)

Workshop details

There are 3 techniques to control the complexity of a machine learning model. The first is to dial a complexity hyperparameter which does not allow you to choose a very complex model. The second is to carry our *regularization* which allows arbitrarily complex models but penalizes complexity. The third is to combine many overfit models in an ensemble. We'll learn how to use all these techniques in the context of a single dataset.

At the end of this workshop you will know what to do using the validation set when confronted with overfitting, and how to internalize these techniques into your machine learning workflows

LIVE sessions
Taught by Harvard Faculty
Access to Discord server dedicated to learning ML
Free

Meet your Instructor

Dr. Rahul Dave

Formerly, Harvard University
Chief Scientist, Univ.AI

Rahul is co-founder of Univ.AI. He was on the original team for Harvard’s famous Data Science course, cs109, and has taught machine learning, statistics, and AI courses, both at Harvard and at multiple conferences and workshops. Some of his more popular offerings have been the Data Scientist Training for Librarians workshops in Boston and Copenhagen, Machine Learning for Suits at the Open Data Science Conference, and the am207 course on Bayesian Statistics and Generative Models at Harvard. He has continued to be on the teaching staff for cs109 at Harvard. Rahul is an accomplished computational scientist with a strong programming background and a veteran cosmologist. His Ph.D. work in cosmology and astrophysics at the University of Pennsylvania involved both high performance computing and bayesian statistics, and subsequent work in astronomy took him in the direction of machine learning and AI. Rahul is passionate about teaching, and a big believer in exposing big, 'researchy' ideas early on, to students. He is super excited about sharing his passion and energy with the participants at Univ.AI

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