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About A Tour of Machine Learning Algorithms
This document provides an overview of popular machine learning algorithms by grouping them into different categories. It discusses four learning styles - supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. It then groups algorithms by similarity, covering regression algorithms, instance-based algorithms, regularization algorithms, decision tree algorithms, Bayesian algorithms, neural network algorithms, and ensemble algorithms. The goal is to help the reader understand the different types of machine learning algorithms and how they relate to each other.
Detailed Information
| Author: | ['Melanie Diaz'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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