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About ML Overview Notes
This document contains lecture notes for an introductory machine learning course. It provides an overview of machine learning, including definitions, applications, and categories. The three main categories are supervised learning, unsupervised learning, and reinforcement learning. Supervised learning uses labeled training data to learn relationships between inputs and outputs. Unsupervised learning finds hidden patterns in unlabeled data. Reinforcement learning involves an agent learning through interactions with an environment using rewards.
Detailed Information
| Author: | ['SAHIN'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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