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Synopsis
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB(R), which are available on GitHub and can be run from there in Binder in a web browser.
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À propos de l?auteur
A.C. Faul is a passionate educator believing that only with deep understanding of the underlying connecting principles of algorithms can progress be made. She obtained an MASt and PhD in Mathematics at the University of Cambridge. She has worked on a variety of algorithms both in industry and academic settings.
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A Concise Introduction to Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
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A Concise Introduction to Machine Learning
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
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A Concise Introduction to Machine Learning
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
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A Concise Introduction to Machine Learning
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Taylor & Francis Ltd, 2025
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ISBN 13 : 9781032878171
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A Concise Introduction to Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
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A Concise Introduction to Machine Learning
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
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A Concise Introduction to Machine Learning (Hardcover)
Edité par
Taylor & Francis Ltd, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Whyonly if why an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB, which are available on GitHub and can be run from there in Binder in a web browser. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032878171
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A Concise Introduction to Machine Learning (Hardcover)
Edité par
Taylor & Francis Ltd, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content.The emphasis of the book is on the question of Whyonly if why an algorithm is successful is understood, can it be properly applied and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities of methods, aims to give a thorough and in-depth treatment and develop intuition for the inner workings of algorithms, while remaining concise.This useful reference should be essential on the bookshelf of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB, which are available on GitHub and can be run from there in Binder in a web browser. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032878171
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A Concise Introduction to Machine Learning
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A Concise Introduction to Machine Learning
Edité par
Chapman And Hall/CRC, 2025
ISBN 10 : 1032878177
ISBN 13 : 9781032878171
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser. N° de réf. du vendeur 9781032878171
Quantité disponible : 1 disponible(s)