Cynthia Rudin - VideoAndMovie

TimberTrek Demo

1:35

TimberTrek Demo

The Song of the Multi-Armed Bandit

3:36

The Song of the Multi-Armed Bandit

5 Min Intro to TreeFARMS (NeurIPS Oral 2022)

4:44

5 Min Intro to TreeFARMS (NeurIPS Oral 2022)

Nobel Conference - Rudin

37:25

Nobel Conference - Rudin

PaCMAP: An algorithm for dimension reduction

14:50

PaCMAP: An algorithm for dimension reduction

Preview of Supervised Learning Content, Part 2

0:40

Preview of Supervised Learning Content, Part 2

Preview of Supervised Learning Content Part 5

0:38

Preview of Supervised Learning Content Part 5

Preview of Supervised Learning Content, Part 3

1:47

Preview of Supervised Learning Content, Part 3

Preview of Supervised Learning Content, Part 4

0:43

Preview of Supervised Learning Content, Part 4

Preview of Supervised Learning Content, Part I

2:13

Preview of Supervised Learning Content, Part I

FICO Mastermind Talk

12:24

FICO Mastermind Talk

An Approximately Good Poem HD 1080p

2:29

An Approximately Good Poem HD 1080p

Intro To Interpretable ML Review Paper

4:35

Intro To Interpretable ML Review Paper

Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Aided, not Automated

39:15

Interpretable Neural Networks for Computer Vision: Clinical Decisions that are Aided, not Automated

Intro to the dame-flame Python Package

5:56

Intro to the dame-flame Python Package

Please Stop Explaining Black Box Models and Use Interpretable Models Instead,

29:49

Please Stop Explaining Black Box Models and Use Interpretable Models Instead,

Intro to Prediction Analysis Lab (Rudin)

14:03

Intro to Prediction Analysis Lab (Rudin)

Introduction to Intuition for the Algorithms of Machine Learning Course

15:32

Introduction to Intuition for the Algorithms of Machine Learning Course

Concept Whitening

3:28

Concept Whitening

Data Leakage

3:20

Data Leakage

The Implosion of Machine Learning

31:13

The Implosion of Machine Learning

KMeans1

9:03

KMeans1

RandomForest

7:01

RandomForest

Intro 1

15:24

Intro 1

ROC3

4:01

ROC3

Cross Validation 1

3:58

Cross Validation 1

DecTrees2

7:53

DecTrees2

DataScienceProcess

7:46

DataScienceProcess

LossFunctions

7:54

LossFunctions

ImbalancedData

4:21

ImbalancedData