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About Machine Learning Lecture
This document provides an overview and introduction to mathematical foundations of machine learning. It discusses why machine learning is used, the different types of machine learning problems including supervised and unsupervised learning. It also introduces some simple machine learning algorithms for classification like perceptrons and Adaline networks. The document outlines gradient descent optimization methods and discusses popular machine learning classifiers such as logistic regression, support vector machines, and decision trees.
Detailed Information
| Author: | ['Dona Davak'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 332 |
| Language: | English |
| Format: | |
| Price: | FREE |
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