ISBN: 9786204201092 - machine learning: supervised,unsupervised learning,ensemble and probabilistic,reinforcement learning,genetic algorithms (5 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2021

    6204201093 / 9786204201092

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    Da: moluna, Greven, Germaniamoluna

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2021

    6204201093 / 9786204201092

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: Neu. Machine Learning | Supervised,Unsupervised Learning,Ensemble and Probabilistic,Reinforcement Learning,Genetic Algorithms | G. Krishna Kumari | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204201092 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Aug 2021, 2021

    6204201093 / 9786204201092

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of machine learning is to discover patterns in your data and then make predictions based on often complex patterns to answer business questions, detect and analyse trends and help solve problems.This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field.The machine learning section begins with the basis of learning and the various association rule learning algorithms. Various types of learning like, reinforced, supervised, unsupervised and statistical are also included with numerous case studies and application exercises. The well explained algorithms and pseudo codes for each topic make this book useful for students.Machine learning techniques enable us to automatically extract features from data so as to solve predictive tasks, such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalisation, robot control, time series forecasting. 128 pp. Englisch.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2021

    6204201093 / 9786204201092

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of machine learning is to discover patterns in your data and then make predictions based on often complex patterns to answer business questions, detect and analyse trends and help solve problems.This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field.The machine learning section begins with the basis of learning and the various association rule learning algorithms. Various types of learning like, reinforced, supervised, unsupervised and statistical are also included with numerous case studies and application exercises. The well explained algorithms and pseudo codes for each topic make this book useful for students.Machine learning techniques enable us to automatically extract features from data so as to solve predictive tasks, such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalisation, robot control, time series forecasting.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Aug 2021, 2021

    6204201093 / 9786204201092

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    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 61,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The purpose of machine learning is to discover patterns in your data and then make predictions based on often complex patterns to answer business questions, detect and analyse trends and help solve problems.This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field.The machine learning section begins with the basis of learning and the various association rule learning algorithms. Various types of learning like, reinforced, supervised, unsupervised and statistical are also included with numerous case studies and application exercises. The well explained algorithms and pseudo codes for each topic make this book useful for students.Machine learning techniques enable us to automatically extract features from data so as to solve predictive tasks, such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalisation, robot control, time series forecasting.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.…