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About Machinelearning Algorithm Basics2 NOTES
The document discusses several machine learning algorithms: 1. Supervised learning algorithms like regression, decision trees, and logistic regression use labeled training data to predict target variables. 2. Unsupervised learning algorithms like Apriori and K-means are used for clustering without labeled targets. 3. Reinforcement learning algorithms like Markov Decision Processes learn from interactions with an environment through trial and error. It then provides more details on common supervised learning algorithms like linear regression, logistic regression, decision trees, support vector machines, Naive Bayes, and K-nearest neighbors.
Detailed Information
| Author: | ['mahesh palem'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 72 |
| Language: | English |
| Format: | |
| Price: | FREE |
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