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Lab manual of Machine Learning: Machine Learning Practicals in Python - Softcover

 
9786203863499: Lab manual of Machine Learning: Machine Learning Practicals in Python

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Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to "learn" with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning "signal" or "feedback" available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement Learning

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ISBN 10: 6203863491 ISBN 13: 9786203863499
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to 'learn' with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning 'signal' or 'feedback' available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement Learning 56 pp. Englisch. Seller Inventory # 9786203863499

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Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to 'learn' with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning 'signal' or 'feedback' available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement Learning. Seller Inventory # 9786203863499

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Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Namdev Dr. KamleshExpert in Machine Learning & VANET, Data SciencePython, R languageMachine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniqu. Seller Inventory # 504658372

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ISBN 10: 6203863491 ISBN 13: 9786203863499
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Taschenbuch. Condition: Neu. Neuware -Machine learningMachine learning is a subset of artificial intelligence (AI) in the field of computer science that oftenuses statistical techniques to give computers the ability to 'learn' with data, without being explicitly programmed. In the pastdecade, machine learning has given us practical speech recognition, self-driving cars, Robotics , effective web search, and a vastly improved understanding of the human genome.Machine learning tasks are typically classified into two broad categories, depending on whether there is a learning 'signal' or 'feedback' available to a learning system: 1. Supervised learning 2. Unsupervised Learning 3. Active learning 4. Reinforcement LearningBooks on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Seller Inventory # 9786203863499

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