Namdev Kamlesh (5 results)
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 42.67
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Taschenbuch. Condition: 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 | An…bieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2021 2021
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 46.96
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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 program…med. 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.
- Softcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
Contact seller5-star sellerCondition: New
US$ 40.31
US$ 55.98 shippingShips from Germany to U.S.A.Quantity: Over 20 available
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 oft…enuses statistical techniqu.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2021 2021
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 46.96
US$ 68.56 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: 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.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 48.13
US$ 69.14 shippingShips from Germany to U.S.A.Quantity: 1 available
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.
