Introduction to Machine Learning
Machine Learning is a groundbreaking field of artificial intelligence that enables systems to learn and make data-driven decisions with minimal human intervention. By leveraging statistical models, algorithms, and computational techniques, it uncovers patterns in data to address complex problems across diverse domains, including healthcare, finance, robotics, and natural language processing. This book offers a comprehensive exploration of core concepts, supervised and unsupervised learning, statistical approaches, and cutting-edge applications, making it an invaluable resource for students, researchers, and professionals alike.
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Introduction to Machine Learning
Machine Learning is a groundbreaking field of artificial intelligence that enables systems to learn and make data-driven decisions with minimal human intervention. By leveraging statistical models, algorithms, and computational techniques, it uncovers patterns in data to address complex problems across diverse domains, including healthcare, finance, robotics, and natural language processing. This book offers a comprehensive exploration of core concepts, supervised and unsupervised learning, statistical approaches, and cutting-edge applications, making it an invaluable resource for students, researchers, and professionals alike.
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Introduction to Machine Learning

Introduction to Machine Learning

Introduction to Machine Learning

Introduction to Machine Learning

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$83.00 
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Overview

Machine Learning is a groundbreaking field of artificial intelligence that enables systems to learn and make data-driven decisions with minimal human intervention. By leveraging statistical models, algorithms, and computational techniques, it uncovers patterns in data to address complex problems across diverse domains, including healthcare, finance, robotics, and natural language processing. This book offers a comprehensive exploration of core concepts, supervised and unsupervised learning, statistical approaches, and cutting-edge applications, making it an invaluable resource for students, researchers, and professionals alike.

Product Details

ISBN-13: 9783330055353
Publisher: LAP Lambert Academic Publishing
Publication date: 11/27/2024
Pages: 176
Product dimensions: 6.00(w) x 9.00(h) x 0.41(d)
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