Data mining

Unit 1

Association Rule Mining

Introduction to Association Rule Mining
Measures of Association Rule Interestingness
Advanced Association Rule Mining Techniques

Unit 2

Classification

Introduction to Classification
Classification Algorithms
Evaluation and Validation in Classification

Unit 3

Clustering

Introduction to Clustering
Types of Clustering Algorithms
Evaluation of Clustering

Unit 4

Reinforcement Learning

Introduction to Reinforcement Learning
Q-Learning
Deep Reinforcement Learning

Unit 4 • Chapter 2

Q-Learning

Summary

Explanation of the Q-learning algorithm process, including initializing the table entries, selecting actions, receiving rewards, updating the table entry values, and transitioning to new states until reaching the goal state.

Concept Check

What is Q-Learning algorithm used for?

What does q cap of s a get initialized to?

When is the table entry of q cap of s a updated?

What is the equation to update q cap of s a?

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