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Machine Learning: Supervised,Unsupervised Learning,Ensemble and Probabilistic,Reinforcement Learning,Genetic Algorithms - Couverture souple
Synopsis
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.
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Machine Learning
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204201093
ISBN 13 : 9786204201092
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. N° de réf. du vendeur 508975129
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Machine Learning
Edité par
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10 : 6204201093
ISBN 13 : 9786204201092
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786204201092
Quantité disponible : 2 disponible(s)
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Machine Learning : Supervised,Unsupervised Learning,Ensemble and Probabilistic,Reinforcement Learning,Genetic Algorithms
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204201093
ISBN 13 : 9786204201092
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786204201092
Quantité disponible : 1 disponible(s)
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Machine Learning
Edité par
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10 : 6204201093
ISBN 13 : 9786204201092
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch. N° de réf. du vendeur 9786204201092
Quantité disponible : 2 disponible(s)
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Machine Learning: Supervised,Unsupervised Learning,Ensemble and Probabilistic,Reinforcement Learning,Genetic Algorithms
Edité par
LAP LAMBERT Academic Publishing, 2021
ISBN 10 : 6204201093
ISBN 13 : 9786204201092
Neuf
paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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paperback. Etat : New. New. book. N° de réf. du vendeur ERICA82962042010936
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