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Sinopsis
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
Publicado por
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786203863499
Cantidad disponible: 2 disponibles
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Lab manual of Machine Learning : Machine Learning Practicals in Python
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786203863499
Cantidad disponible: 1 disponibles
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Lab manual of Machine Learning
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 504658372
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Lab manual of Machine Learning
Publicado por
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6203863491
ISBN 13: 9786203863499
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786203863499
Cantidad disponible: 2 disponibles