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Home > Video lecture > CSE > Artificial Intelligence(Prof. S. Sarkar Prof. Anupam Basu) > Introduction to Learning – I | Artificial Intelligence | Video lecture

Introduction to Learning – I | Artificial Intelligence | Video lecture

Introduction to Learning – I

TOPICS:

Artificial Intelligence
Instructional Objectives
Definition
Human & Machine Learning
Definitions of Learning
Definitions of Learnin
Definitions of Learning
Learning Definition
Well-posed learning problem
Examples of learning problem
Learner in environment about which it attempts
Why study ML?
Types of Learning
Knowledge acquired by Learning
Some Data Structures Used for Learned Knowledge
Example Data Structures
Example strategies of acquisition
Evaluating Learners
Inductive learning for classification
Classification (Concept Learning)
Example Classification Tasks
Deduction vs Induction
Examples
Machine learning for classification
A structured attribute
Concept learning problem
Machine learning for classification
Concept learning problem
The learning problem
Another Example
Hypothesis or model selection
Another Example
Hypothesis or model selection
Hypotheses space
Some possible Hypothesis
Some Definitions
False positive and false negative
Inductive bias
Choosing the best hypothesis
Inductive bias
Choosing the best hypothesis
Evaluating the Performance of a Learner
Machine learning programs for classification
Displaying the Performance of a Learner
Questions

 

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