kilian weinberger

Introducing Kilian Weinberger: Associate Professor, Computer Science

Kilian Weinberger, 'Interpretable Machine Learning'

CS4780 Transformers (additional lecture 2023)

Machine Learning Lecture 35 'Neural Networks / Deep Learning' -Cornell CS4780 SP17

Lecture 3 'k-nearest neighbors' -Cornell CS4780 SP17

Lecture 7 'Estimating Probabilities from Data: Maximum Likelihood Estimation' -Cornell CS4780 SP17

Machine Learning Lecture 30 'Bagging' -Cornell CS4780 SP17

TUM-DLS-AIH: Kilian Weinberger, Learning to Detect from Repeated Traversals of the Same Route

Fall 2017 GRASP Seminar Series: Kilian Weinberger - October 20th

Machine Learning Lecture 32 'Boosting' -Cornell CS4780 SP17

Learning with Marginalized Corrupted Features - Kilian Weinberger (U of Washington, St. Louis)-2013

Kilian Weinberger: The (hidden) Cost of Calibration

Learning with Marginalized Augmenation - Kilian Q. Weinberger

Lecture 5 'Perceptron' -Cornell CS4780 SP17

Machine Learning Lecture 37 'Neural Networks / Deep Learning' -Cornell CS4780 SP17

Machine Learning Lecture 10 'Naive Bayes continued' -Cornell CS4780 SP17

Machine Learning Lecture 29 'Decision Trees / Regression Trees' -Cornell CS4780 SP17

Lecture 1 'Supervised Learning Setup' -Cornell CS4780 Machine Learning for Decision Making SP17

Machine Learning Certificate from Cornell University

Lecture 6 'Perceptron Convergence Proof' -Cornell CS4780 SP17

Machine Learning Lecture 26 'Gaussian Processes' -Cornell CS4780 SP17

Machine Learning Lecture 9 'Naive Bayes continued' -Cornell CS4780 SP17

Machine Learning Lecture 8 'Estimating Probabilities from Data: Naive Bayes' -Cornell CS4780 SP17

Lecture 2 'Supervised Learning Setup Continued' -Cornell CS4780 SP17