Lecture 15 Cogs118A Classifier Roundup

Lecture 15 COGS118A Classifier roundup

Jason Fleischer

Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 15 - multiclass classification

Stanford Online

Fair Classification with Partial Feedback: An Exploration Based Data Collection Approach

Association for Computing Machinery (ACM)

Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 12 - classifiers

Stanford Online

Lecture 11 - Overfitting

CAP5415 Lecture 11 [Classification - Part 1] - Fall 2020

Stanford CS229M - Lecture 18: Unsupervised learning, mixture of Gaussians, moment methods

Stanford Online

CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization

Andrej Karpathy

Dinusha Vatsalan - Privacy Preserving Matching of Different Data Types

Lecture 9 COGS9 Data Wrangling

Jason Fleischer

Cogs 187a Week 8 LE 15

High order path-conservative finite volume schemes for geophysical flows – M. Castro – ICM2018

Rajesh Ranganath | Out of Distribution Generalization

Computational Genomics Summer Institute CGSI