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Machine Learning: Model Representation (in Hindi)

Lesson 3 of 15 • 26 upvotes • 13:02mins

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Surya Pratap Singh

Model representation (Supervised Learning) hypothesis function and cost function - what they are and what they do.

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1

Machine Learning: Introduction (in Hindi)

10:09mins

2

Machine Learning: Classification of ML (in Hindi)

12:33mins

3

Machine Learning: Model Representation (in Hindi)

13:02mins

4

Machine Learning: Cost Function (in Hindi)

7:53mins

5

Machine Learning: Gradient Descent (in Hindi)

10:17mins

6

Machine Learning : Gradient descent & Matrices

6:12mins

7

Machine Learning : Multiple features

6:30mins

8

Machine Learning : optimising techniques and polynomial regression

8:50mins

9

Machine Learning : Normal Equation and Classification

8:41mins

10

Machine Learning : Decision Boundary & Cost Function

10:04mins

11

Machine learning : Advanced Optimisations; Multiclass classification; Overfitting

14:29mins

12

Machine learning : Coping with Over-fitting & Regularisation

11:45mins

13

Basics of Neural Networks

7:06mins

14

Simple examples of neural network and Multi-class classification

7:57mins

15

Cost function and Back Propagation for Neural Network

9:27mins

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