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About Introduction To Machine Learning Top-Down Approach - Towards Data Science
This document provides an introduction to machine learning concepts in 3 main sections: 1) It defines the key components of a machine learning system including the machine learning algorithm, dataset, model, and problem to be solved. 2) It describes different types of machine learning algorithms and how models can be trained, including supervised vs. unsupervised learning. 3) It discusses important considerations for datasets including quantity, quality, feature selection, and risks of overfitting or underfitting. Common machine learning models and examples are also listed.
Detailed Information
| Author: | ['Kashaf Bakali'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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