Lesson 3 of 15 • 26 upvotes • 13:02mins
Model representation (Supervised Learning) hypothesis function and cost function - what they are and what they do.
15 lessons • 2h 25m
Machine Learning: Introduction (in Hindi)
10:09mins
Machine Learning: Classification of ML (in Hindi)
12:33mins
Machine Learning: Model Representation (in Hindi)
13:02mins
Machine Learning: Cost Function (in Hindi)
7:53mins
Machine Learning: Gradient Descent (in Hindi)
10:17mins
Machine Learning : Gradient descent & Matrices
6:12mins
Machine Learning : Multiple features
6:30mins
Machine Learning : optimising techniques and polynomial regression
8:50mins
Machine Learning : Normal Equation and Classification
8:41mins
Machine Learning : Decision Boundary & Cost Function
10:04mins
Machine learning : Advanced Optimisations; Multiclass classification; Overfitting
14:29mins
Machine learning : Coping with Over-fitting & Regularisation
11:45mins
Basics of Neural Networks
7:06mins
Simple examples of neural network and Multi-class classification
7:57mins
Cost function and Back Propagation for Neural Network
9:27mins