07:02

9-Lasso Regression | Can chisetling, teach us Lasso Regression? | ML for Non Tech

03:52

8-Regularization | Can Regularization be learnt taking his example? | ML for Non Tech

11:32

7-Gradient Descent | can Gradient Descent be explained using example of Tap? | ML for Non Tech

08:42

6-Polynomial Regression | Detailed Explanation on Polynomial Regression | ML for Non Tech

10:28

5-Linear Regression | Detailed Explanation on Linear Regression | ML for Non Tech

05:46

4-Overfitting - Underfitting, do you confuse Overfitting & Underfitting? | ML for NonTech

06:19

3-Bias-Variance Tradeoff | Confused about Bias & Variance | ML for Non Tech

09:24

2-Supervised, Semi-Supervised, Unsupervised Learning | ML for Non Tech

04:59

1-Machine Learning | What is Machine Learning | ML for Non Tech

01:52

LBFGS Precisely | Limited Memory BFGS | Machine Learning

07:06

BFGS Explained Intuitively with Graphs | Newton's Method | Machine Learning

14:07

BFGS, LBFGS & Other Advanced Optimization

14:00

1 1 Course Overview and Maximum Likelihood | Machine Learning

04:52

1 2 Data Modeling | Machine Learning

05:47

1 3 Gaussian Distribution Multivariate | Machine Learning

03:38

1 4 A Probabilistic Model | Machine Learning

14:39

1 5 Maximum Likelihood Estimation | Machine Learning

12:30

1 6 Examples MULTIVARIATE GAUSSIAN MLE | Machine Learning

09:33

2 1 Linear Regression | Machine Learning

02:27

2 2 Linear Regression Example | Machine Learning

16:53

2 3 Least Squares | Machine Learning

18:59

2 4 Polynomial Regression | Machine Learning

08:19

2 5 Geometry of Least Squares Regression | Machine Learning

04:32

2 6 Least Squares Linear Regression | Machine Learning

11:08

2 7 A Probabilistic View | Machine Learning

09:49

2 8 Review An Equality from Probability | Machine Learning

12:21

2 9 Ridge Regression | Machine Learning

19:38

2 10 More Analysis of Ridge Regression | Machine Learning

05:59

2 11 The Regularization Parameter | Machine Learning

02:47

2 12 Regression With Without Regularization | Machine Learning

20:07

2 13 Bias Variance Trade Off | Machine Learning

03:44

3 1 Cross Validation | Machine Learning

11:48

3 2 Baye's Rule | Machine Learning

06:53

3 3 Coin Flipping Example | Machine Learning

07:43

3 4 Maximum A Posteriori | Machine Learning

08:36

3 5 Bayes Linear Regression 1 | Machine Learning

05:28

3 6 Bayes Linear Regression 2 | Machine Learning

10:18

3 7 PREDICTING NEW DATA | Machine Learning

09:37

3 8 Active Learning 1 | Machine Learning

13:31

3 9 Active Learning 2 | Machine Learning

05:23

4 1 Linear Regression | Machine Learning

07:20

4 2 Tools for Analysis of Linear Regression | Machine Learning

19:41

4 3 Sparse Regression | Machine Learning

07:43

4 4 Ridge Regression & Lasso Regression | Machine Learning

06:23

5 1 Nearest Neighbour Classification | Machine Learning

04:17

5 3 k nearest Neighbors Classifier | Machine Learning

04:29

5 2 Example OCR with NN Classifier | Machine Learning

04:20

5 4 Statistical Setting | Machine Learning

10:27

5 5 Optimal Classifiers | Machine Learning

02:45

5 6 Bayes Classifiers | Machine Learning

09:04

5 7 Linear Classification | Machine Learning

13:58

5 8 Hyperplanes | Machine Learning

05:15

5 9 Polynomial Generalizations | Machine Learning

13:49

5 10 Perceptron Algorithm | Machine Learning

17:51

6 1 Logistic Regression | Machine Learning

08:00

6 2 Logistic Regression Likelihood | Machine Learning

08:22

6 3 Logistic Regression Algorithm | Machine Learning

12:25

6 4 Laplace Approximation | Machine Learning

13:05

7 1 Feature Expansions | Machine Learning

15:40

7 2 Kernels | Machine Learning