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About Machine Learning
1. Machine learning allows computers to learn from experience to improve performance without being explicitly programmed. It has many potential applications from medical diagnosis to personalized software. 2. For a learning problem to be well-posed, the task, performance measure, and source of experience must be defined. Examples include learning to play checkers based on games won, and recognizing handwriting based on a training database. 3. Designing a machine learning system involves choosing the training experience, target function, function representation, and learning algorithm to optimize performance on the task.
Detailed Information
| Author: | ['Dghddf'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 111 |
| Language: | English |
| Format: | |
| Price: | FREE |
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