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About Machine Learning For Everyone
This document provides an overview of machine learning techniques, beginning with supervised learning methods like classification and regression. Classification involves predicting an object's category, such as identifying images as cats or dogs, while regression predicts a numeric value like car price based on mileage. Unsupervised learning techniques like clustering are also discussed, which divide data into groups without predefined labels. Popular clustering algorithms include K-means and DBSCAN. Dimensionality reduction techniques like PCA and SVD are also mentioned as ways to generalize data into more high-level features. Real-world applications are provided for each technique.
Detailed Information
| Author: | ['agalvezsal'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 35 |
| Language: | English |
| Format: | |
| Price: | FREE |
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