Explore the fundamental concepts of Nearest Neighbor Methods in this comprehensive lecture by Ilya Razenshteyn from Microsoft Research, presented as part of the Foundations of Data Science Boot Camp at the Simons Institute. Delve into the core principles and applications of this essential data science technique, gaining valuable insights from an industry expert over the course of 65 minutes.
Overview
Syllabus
Nearest Neighbor Methods I
Taught by
Simons Institute
Related Courses
-
Nearest Neighbors I
-
Private Nearest Neighbor Search with Sublinear Communication and Malicious Security
-
Nearest Neighbor Normalization for Improving Multimodal Retrieval
-
O(log s)-Approximate Nearest Neighbor Search for Earth Mover's Distance
-
Python Fundamentals and Data Science Essentials
-
K-Nearest Neighbor From Scratch - Machine Learning Python
