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9781032878140 - A Concise Introduction to Machine Learning di Faul, A.C. (20 risultati)
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Concise Introduction to Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Concise Introduction to Machine Learning (A)
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Concise Introduction to Machine Learning (A)
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Concise Introduction to Machine Learning
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A Concise Introduction to Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
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A Concise Introduction to Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
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Concise Introduction to Machine Learning
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Concise Introduction to Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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A Concise Introduction to Machine Learning
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EUR 65,20
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A Concise Introduction to Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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A Concise Introduction to Machine Learning (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Da: Biblios, Frankfurt am main, HESSE, Germania
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A Concise Introduction to Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 334 pages. 9.18x6.12x9.21 inches. In Stock.
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A Concise Introduction to Machine Learning (Paperback)
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Paperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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A Concise Introduction to Machine Learning
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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A Concise Introduction to Machine Learning
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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A Concise Introduction to Machine Learning (Paperback)
Da: CitiRetail, Stevenage, Regno Unito
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EUR 64,43
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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EUR 57,92
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Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 ha.
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A Concise Introduction to Machine Learning (Paperback)
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 122,35
Spedizione EUR 32,48
Spedito da Australia a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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EUR 133,03
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
