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About Machine Learning Intro Final
This document provides an overview of a presentation on machine learning concepts, theory, and applications. It discusses: 1. A brief history of machine learning originating in the 1950s with Arthur Samuel's machine learning checker playing program and Frank Rosenblatt's perceptron. 2. Key factors driving recent rapid development in machine learning including large amounts of data produced, improvements to machine learning algorithms like deep learning, and increased computing power. 3. Examples of machine learning algorithm advances like Google Brain detecting faces and an AI defeating a human at Go. The presentation aims to define machine learning terms and classify algorithms before explaining the machine learning model building process.
Detailed Information
Author: | ['Jelena Nađ'] |
---|---|
Publication Year: | 2018 |
Pages: | 74 |
Language: | English |
Format: | |
Price: | FREE |
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