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About Machine Learning Techniques Quantum
Machine learning techniques can be categorized into three types: 1. Supervised learning involves using labeled examples to learn a function that maps inputs to outputs. Common algorithms include linear regression, logistic regression, and neural networks. 2. Unsupervised learning discovers hidden patterns in unlabeled data. Clustering is a common unsupervised technique that groups similar examples together. 3. Reinforcement learning allows an agent to learn from interactions with an environment through a trial-and-error approach using rewards and punishments. This enables an agent to map situations to actions that maximize a reward.
Detailed Information
| Author: | ['Anup Yadav'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 161 |
| Language: | English |
| Format: | |
| Price: | FREE |
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