Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
Librería: preigu, Osnabrück, Alemania
EUR 36,25
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Lab manual of Machine Learning | Machine Learning Practicals in Python | Kamlesh Namdev | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203863499 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 39,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
Librería: moluna, Greven, Alemania
EUR 34,25
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 39,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 LearningVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203863491 ISBN 13: 9786203863499
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. 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.