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About Machine Learning For Beginners. The Simplified Guide
This document provides an introduction to machine learning for beginners. It explains that machine learning allows computers to learn from experience and data without being explicitly programmed. The document discusses some common machine learning tasks like regression, classification, and clustering. Regression predicts continuous variable outcomes, like housing prices, while classification predicts discrete categories, like spam detection. The document provides examples of algorithms for regression like kernel regression and for classification like k-nearest neighbors. It also outlines some of the benefits of machine learning, such as enabling fast, large-scale data analysis and prediction across many domains.
Detailed Information
| Author: | ['harish400'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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