Sinossi
As this is the era of Artificial Intelligence, the machines are allowed to think on this own to undertake some real time decision quickly. To enable this to happen, the initial requirement for us the programmer need to understand the language of the machine.Machine Learning is one of the trending topics in this era of computing. Other technologies like Big data, artificial intelligence, automation are shaping the future and it enables to offer more job opportunities and also gives depth knowledge in high speed computing. This technique enables the machine to think like human and make decisions as early as possible. The authors have incorporated the embedded applications along with android so that machine learning could be so easily delivered as a hands on session. This book aims in providing simple to advanced concepts in python, which enables the reader to motivate to do some projects related to it. The reader themselves can able to develop applications using python. As it is used to develop GUI applications, Web sites and mobile Apps.
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A Beginners Guide for Machine Learning Models with Python Environment
Editore:
LAP LAMBERT Academic Publishing Feb 2020, 2020
ISBN 10: 6200566852
ISBN 13: 9786200566850
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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 -As this is the era of Artificial Intelligence, the machines are allowed to think on this own to undertake some real time decision quickly. To enable this to happen, the initial requirement for us the programmer need to understand the language of the machine.Machine Learning is one of the trending topics in this era of computing. Other technologies like Big data, artificial intelligence, automation are shaping the future and it enables to offer more job opportunities and also gives depth knowledge in high speed computing. This technique enables the machine to think like human and make decisions as early as possible. The authors have incorporated the embedded applications along with android so that machine learning could be so easily delivered as a hands on session. This book aims in providing simple to advanced concepts in python, which enables the reader to motivate to do some projects related to it. The reader themselves can able to develop applications using python. As it is used to develop GUI applications, Web sites and mobile Apps. 184 pp. Englisch. Codice articolo 9786200566850
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A Beginners Guide for Machine Learning Models with Python Environment
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ISBN 13: 9786200566850
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A Beginners Guide for Machine Learning Models with Python Environment
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200566852
ISBN 13: 9786200566850
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Taschenbuch. Condizione: Neu. A Beginners Guide for Machine Learning Models with Python Environment | X. Anitha Mary (u. a.) | Taschenbuch | 184 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200566850 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 118070631
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A Beginners Guide for Machine Learning Models with Python Environment
Editore:
LAP LAMBERT Academic Publishing Feb 2020, 2020
ISBN 10: 6200566852
ISBN 13: 9786200566850
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As this is the era of Artificial Intelligence, the machines are allowed to think on this own to undertake some real time decision quickly. To enable this to happen, the initial requirement for us the programmer need to understand the language of the machine.Machine Learning is one of the trending topics in this era of computing. Other technologies like Big data, artificial intelligence, automation are shaping the future and it enables to offer more job opportunities and also gives depth knowledge in high speed computing. This technique enables the machine to think like human and make decisions as early as possible. The authors have incorporated the embedded applications along with android so that machine learning could be so easily delivered as a hands on session. This book aims in providing simple to advanced concepts in python, which enables the reader to motivate to do some projects related to it. The reader themselves can able to develop applications using python. As it is used to develop GUI applications, Web sites and mobile Apps.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Codice articolo 9786200566850
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A Beginners Guide for Machine Learning Models with Python Environment
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200566852
ISBN 13: 9786200566850
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Paperback. Condizione: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock. Codice articolo zk6200566852
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A Beginners Guide for Machine Learning Models with Python Environment
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200566852
ISBN 13: 9786200566850
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As this is the era of Artificial Intelligence, the machines are allowed to think on this own to undertake some real time decision quickly. To enable this to happen, the initial requirement for us the programmer need to understand the language of the machine.Machine Learning is one of the trending topics in this era of computing. Other technologies like Big data, artificial intelligence, automation are shaping the future and it enables to offer more job opportunities and also gives depth knowledge in high speed computing. This technique enables the machine to think like human and make decisions as early as possible. The authors have incorporated the embedded applications along with android so that machine learning could be so easily delivered as a hands on session. This book aims in providing simple to advanced concepts in python, which enables the reader to motivate to do some projects related to it. The reader themselves can able to develop applications using python. As it is used to develop GUI applications, Web sites and mobile Apps. Codice articolo 9786200566850
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