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About cp4252 Machine Learning
The document provides an overview of machine learning, including definitions of machine learning tasks and common machine learning approaches. It defines machine learning as a subset of artificial intelligence that allows computers to learn from data without being explicitly programmed. It describes the main categories of machine learning tasks as supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and active learning. It then discusses 10 common machine learning approaches: decision tree learning, association rule learning, artificial neural networks, deep learning, inductive logic programming, support vector machines, clustering, Bayesian networks, reinforcement learning, and similarity and metric learning.
Detailed Information
| Author: | ['Suganya C'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 49 |
| Language: | English |
| Format: | |
| Price: | FREE |
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