CS4780/CS5780: Machine Learnin.. - Cornell_Uni

1/29 Videos

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

Cornell_Uni

00:48:45

2

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

Cornell_Uni

00:49:42

3

Lecture 4 "Curse of Dimensionality / Perceptron" -Cornell CS4780 SP17

Cornell_Uni

00:47:43

4

Lecture 5 "Perceptron" -Cornell CS4780 SP17

Cornell_Uni

00:49:57

5

Lecture 6 "Perceptron Convergence Proof" -Cornell CS4780 SP17

Cornell_Uni

00:49:26

6

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

Cornell_Uni

00:38:52

7

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

Cornell_Uni

00:48:33

8

Machine Learning Lecture 11 "Logistic Regression" -Cornell CS4780 SP17

Cornell_Uni

00:47:39

9

Machine Learning Lecture 12 "Gradient Descent / Newton's Method" -Cornell CS4780 SP17

Cornell_Uni

00:49:19

10

Machine Learning Lecture 13 "Linear / Ridge Regression" -Cornell CS4780 SP17

Cornell_Uni

00:39:50

11

Machine Learning Lecture 14 "(Linear) Support Vector Machines" -Cornell CS4780 SP17

Cornell_Uni

00:49:59

12

Machine Learning Lecture 16 "Empirical Risk Minimization" -Cornell CS4780 SP17

Cornell_Uni

00:46:33

13

Machine Learning Lecture 17 "Regularization / Review" -Cornell CS4780 SP17

Cornell_Uni

00:52:30

14

Machine Learning Lecture 19 "Bias Variance Decomposition" -Cornell CS4780 SP17

Cornell_Uni

00:51:13

15

Machine Learning Lecture 21 "Model Selection / Kernels" -Cornell CS4780 SP17

Cornell_Uni

00:47:36

16

Machine Learning Lecture 22 "More on Kernels" -Cornell CS4780 SP17

Cornell_Uni

00:51:54

17

Machine Learning Lecture 23 "Kernels Continued Continued" -Cornell CS4780 SP17

Cornell_Uni

00:43:42

18

Machine Learning Lecture 24 "Kernel Support Vector Machine" -Cornell CS4780 SP17

Cornell_Uni

00:50:07

19

Machine Learning Lecture 25 "Kernelized algorithms" -Cornell CS4780 SP17

Cornell_Uni

00:49:28

20

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

Cornell_Uni

00:52:41

21

Machine Learning Lecture 28 "Ball Trees / Decision Trees" -Cornell CS4780 SP17

Cornell_Uni

00:48:59

22

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

Cornell_Uni

00:50:23

23

Machine Learning Lecture 30 "Bagging" -Cornell CS4780 SP17

Cornell_Uni

00:49:43

24

Machine Learning Lecture 31 "Random Forests / Bagging" -Cornell CS4780 SP17

Cornell_Uni

00:47:25

25

Machine Learning Lecture 32 "Boosting" -Cornell CS4780 SP17

Cornell_Uni

00:48:27

26

Machine Learning Lecture 33 "Boosting Continued" -Cornell CS4780 SP17

Cornell_Uni

00:47:54

27

Machine Learning Lecture 34 "Boosting / Adaboost" -Cornell CS4780 SP17

Cornell_Uni

00:48:40

28

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

Cornell_Uni

00:51:00

29

In-class Kaggle Competition in less than 5 Minutes

Cornell_Uni

00:08:56

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

0

0

30 Views

Cornell_Uni
5 subscribers

In Engineering / Mechanical Engineering

Lecture Notes:
http://www.cs.cornell.edu/cour....ses/cs4780/2018fa/le

Show more

100% online learning from the world's best universities, organisations and Instructors

0 Comments

Explore more

Help

Import
Live