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Machine Learning For Humans PDF

97 Pages·2017·English
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by ['aakash30jan']| 2017| 97 pages| English

About Machine Learning For Humans

This document provides an introduction to machine learning for humans. It discusses the rapid advances being made in artificial intelligence and machine learning, including examples like Google's conversational agent, DeepMind's success at Atari games and Go, and OpenAI defeating professionals at Dota 2. Machine learning is defined as a subfield of artificial intelligence that enables computers to learn from experience to improve their ability to think, plan, decide, and act. The document outlines the topics that will be covered, including supervised learning, unsupervised learning, neural networks, and reinforcement learning.

Detailed Information

Author:['aakash30jan']
Publication Year:2017
Pages:97
Language:English
Format:PDF
Price:FREE
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