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Supervised Learning: Introduction And Different Approaches
Lesson 3 of 10 • 3 upvotes • 6:24mins
Somesh Mohapatra
This method of learning is important for the machine to be able to understand human attributes and then relate to algorithms and systems in a pattern as required. This lesson starts with a basic introduction to Supervised Learning and further explanation of its different types: Error Correction Gradient Descent, Stochastic Approach, Least Main Square Approach, and Backpropagation Approach.
Gain An Insight Into Machine Learning
10 lessons • 1h 6m
1
Introduction To Machine Learning
7:57mins
2
Learning Methods In Machine Learning
6:40mins
3
Supervised Learning: Introduction And Different Approaches
6:24mins
4
Unsupervised Learning: Introduction, Conditions, Developments And Advantages
7:01mins
5
Questions On Supervised Learning
6:20mins
6
Questions On Unsupervised Learning
6:30mins
7
Cost Function: Introduction
6:01mins
8
Cost Function: Advanced
6:19mins
9
Gradient Descent: Introduction And Mathematical Representation
6:35mins
10
Questions On Gradient Descent
6:46mins
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