Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Fitting Manifolds to Data with Large Noise by Hari Narayanan

International Centre for Theoretical Sciences via YouTube

Overview

Explore the challenges and techniques of fitting manifolds to data with significant noise in this lecture by Hari Narayanan. Delve into advanced data science concepts as part of the "Data Science: Probabilistic and Optimization Methods" discussion meeting organized by the International Centre for Theoretical Sciences. Learn about the intersection of pure mathematics and data-driven approaches in handling large-scale, noisy datasets. Gain insights into the analytic and algorithmic aspects of data science, focusing on probabilistic and optimization techniques. Understand how this field is revolutionizing traditional sciences and engineering, drawing parallels to the industrial revolution in its impact on data generation, storage, and processing.

Syllabus

Fitting Manifolds to Data with Large Noise by Hari Narayanan

Taught by

International Centre for Theoretical Sciences

Reviews

Start your review of Fitting Manifolds to Data with Large Noise by Hari Narayanan

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.