Machine Learning Summer School (MLSS), Chicago 2005

Machine Learning Summer School (MLSS), Chicago 2005

40 Videos · May 15, 2005

About

Machine learning is a field focused on making machines learn to make predictions from examples. It combines elements of mathematics, computer science, and statistics with applications in biology, physics, engineering and any other area where automated prediction is necessary. This short summer school is an intense introduction to the basics of machine learning and learning theory with various additional advanced topics covered. It is appropriate for anyone interested in learning this material.

Videos

Introduction

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35:49

Welcome

David McAllester

Apr 19, 2007

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4119 views

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12:40

Welcome to Chicago, and a (brief!) introduction to machine learning

John Langford

Feb 25, 2007

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5874 views

Lectures

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55:35

Diffusion Maps, Spectral Clustering and Reaction Coordinates of Dynamical System...

Boaz Nadler

Feb 25, 2007

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10913 views

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02:01:19

Empirical Comparisons of Learning Methods & Case Studies

Rich Caruana

Feb 25, 2007

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6168 views

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55:17

Game Dynamics with Learning and Evolution of Universal Grammar

Garrett Mitchener

Feb 25, 2007

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3289 views

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01:23:27

Online Learning with Kernels

Yoram Singer

Feb 25, 2007

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7104 views

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51:40

Categorical Perception + Linear Learning = Shared Culture

Mark Liberman

Feb 25, 2007

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3526 views

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32:36

The Dynamics of AdaBoost

Cynthia Rudin

Feb 25, 2007

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24734 views

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01:16:33

Learning on Structured Data

Yasemin Altun

Feb 25, 2007

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11788 views

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59:35

On the Borders of Statistics and Computer Science

Peter J. Bickel

Feb 25, 2007

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14039 views

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56:08

Some Aspects of Learning Rates for SVMs

Ingo Steinwart

Feb 25, 2007

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5764 views

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47:32

Semi-supervised Learning, Manifold Methods

Mikhail Belkin

Feb 25, 2007

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16455 views

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01:04:59

Evidence Integration in Bioinformatics

Phil Long

Feb 25, 2007

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5139 views

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Bayesian Learning

Zoubin Ghahramani

Feb 25, 2007

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41428 views

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53:48

Adventures with Camille

Peter Culicover

Feb 25, 2007

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4353 views

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53:01

Learning variable covariances via gradients

Ding-Xuan Zhou

Feb 25, 2007

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3745 views

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Energy-based models & Learning for Invariant Image Recognition

Yann LeCun

Feb 25, 2007

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13319 views

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53:58

Fingerprints of Rhthm in Natural Language

Antonio Galves

Feb 25, 2007

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3499 views

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49:49

Algorithms for Learning and their Estimates

Steve Smale

Feb 25, 2007

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3797 views

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01:05:34

Feasible Language Learning

Ed Stabler

Feb 25, 2007

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3539 views

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01:24:18

An introduction to grammars and parsing

Mark Johnson

Feb 25, 2007

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10497 views

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Tutorial on Machine Learning Reductions

John Langford

Feb 25, 2007

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16463 views

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Online Learning and Game Theory

Adam Kalai

Feb 25, 2007

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28927 views

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01:00:54

Introduction to Kernel Methods

Mikhail Belkin

Feb 25, 2007

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14750 views

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01:44:36

Learning on Structured Data

David McAllester

Feb 25, 2007

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3970 views

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51:50

On Optimal Estimators in Learning Theory

Vladimir Temlyakov

Feb 25, 2007

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3642 views

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41:36

Learning patterns in omic data: applications of learning theory

Sayan Mukherjee

Feb 25, 2007

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4466 views

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01:10:31

On the evolution of languages

Felipe Cucker

Feb 25, 2007

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3702 views

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50:51

Learning to Signal

Brian Skyrms

Feb 25, 2007

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3952 views

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Multiscale analysis on graphs

Mauro Maggioni

Feb 25, 2007

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4625 views

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21:44

Trees for Regression and Classification

Robert D. Nowak

Feb 25, 2007

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10452 views

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01:35:21

Information Geometry

Sanjoy Dasgupta

Feb 25, 2007

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35571 views

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01:42:36

Generalization bounds

John Langford

Feb 25, 2007

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8672 views

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54:52

Semi-supervised Learning, Manifold Methods

Partha Niyogi

Feb 25, 2007

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9197 views

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01:21:57

Introduction to Kernel Methods

Partha Niyogi

Feb 25, 2007

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17908 views

Interviews with students

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04:16

Short interviews MLSS05 Chicago by John Langford

Feb 25, 2007

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6508 views

Debates

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01:23:45

Lunch debate 23.5.2005

Feb 25, 2007

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6873 views

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35:40

Lunch debate 25.5.2005

Feb 25, 2007

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5470 views

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14:39

Lunch debate 27.5.2005

Feb 25, 2007

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3670 views

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25:46

Lunch debate 24.5.2005

Feb 25, 2007

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5188 views