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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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Lab manual of Machine Learning
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LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
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Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 504658372
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Lab manual of Machine Learning
Editore:
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786203863499
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Lab manual of Machine Learning
Editore:
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786203863499
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Lab manual of Machine Learning : Machine Learning Practicals in Python
Editore:
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786203863499
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