Big Data, IoT, and Machine Learning: Tools and Applications, ISBN 0367531216, ISBN-13 9780367531218, Like New Used, Free P&P in the UK
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Machine Learning Basics: AI Tools and Frameworks by Anusiem, Precious, ISBN 9798343360523, ISBN-13 9798343360523, Like New Used, Free P&P in the UK
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The algorithms of ML utilize computational techniques to learn information directly from data rather than using a preconceived equation as a model. ML is divided into two main categories, which include supervised learning and unsupervised learning.
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Pages Count - 692. Binding type - Hardcover. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking. Pages Count - 240. Binding type - Perfect.
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Metaheuristics for Machine Learning : New Advances and Tools, ISBN 981193889X, ISBN-13 9789811938894, Like New Used, Free P&P in the UK
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Pages Count - 842. Binding type - Hardcover. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning by Ramsay, Allan, ISBN 1803240687, ISBN-13 9781803240688, Like New Used, Free P&P in the UK
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The Title is Advances in Complex Decision Making : Using Machine Learning and Tools for Service-Oriented Computing. Category - COMPUTERS / Data Science / Machine Learning. Edition Number - 0001. Pages Count - 128.
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Computational and Machine Learning Tools for Archaeological Site Modeling, Paperback by Castiello, Maria Elena, ISBN 3030885690, ISBN-13 9783030885694, Brand New, Free P&P in the UK
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Pages Count - 738. Binding type - Hardcover. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
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This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
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This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
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The study of computer algorithms that improve automatically through experience and by the use of data is referred to as machine learning. Data mining is a related area of study, focusing on exploratory data analysis through unsupervised learning.
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Covers data processing and security solutions in IoT and Big Data applications.
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