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About ML Module1 Chapter1
This document provides information about a Machine Learning course including: - The textbook and lecture notes links - Five modules that will be covered: concept learning, decision trees, neural networks, Bayesian learning, and instance-based learning/reinforcement learning. - An assignment to watch YouTube videos about checkers games. It then provides details about the first module which includes an example partial design of a checkers-playing learning program. It discusses choosing the task, performance measure, training experience, target function, representation of the target function, and learning mechanism. The target function is represented as a linear combination of board features to evaluate board states.
Detailed Information
| Author: | ['pooja'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 38 |
| Language: | English |
| Format: | |
| Price: | FREE |
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