Machine Learning & Deep Learning
About Course
Introduction to Machine Learning with theoretical foundations and practical applications.
Course Content
Machine Learning
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1. Introduction to Machine Learning
01:18:04 -
2. Supervised Learning, Linear Regression
01:09:41 -
3. Logistic Regression and Regularization
01:11:24 -
01:13:39
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5. Deep Learning
01:07:52 -
Lecture 1 | Machine Learning (Stanford)
01:19:14 -
01:12:27
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Lecture 3 | Machine Learning (Stanford)
01:20:26 -
Lecture 10 | Deep Learning (Stanford)
01:17:33 -
Lecture 11 | Detection and Segmentation (Stanford)
01:18:46 -
But what is a Neural Network? | Deep learning, chapter 1
19:13 -
Gradient descent, how neural networks learn | Deep learning, chapter 2
21:00 -
What is backpropagation really doing? | Deep learning, chapter 3
13:54 -
Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning
41:55 -
Machine Learning Full Course – Learn Machine Learning 10 Hours
10:23:13 -
02:07:00
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PyTorch Tutorial for Deep Learning Researchers
01:01:29 -
Deep Learning Crash Course for Beginners
01:12:41 -
Introduction to Deep Learning: Machine Learning vs Deep Learning
03:49 -
A friendly introduction to Deep Learning and Neural Networks
14:29
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