Edité par Technics Publications (edition First Edition), 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Edition originale
EUR 13,89
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Ajouter au panierPaperback. Etat : Good. First Edition. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierPaperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Vendeur : California Books, Miami, FL, Etats-Unis
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Vendeur : California Books, Miami, FL, Etats-Unis
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 35,14
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Edité par Technics Publications, LLC, 2025
Langue: anglais
Vendeur : CreativeCenters, Peoria, IL, Etats-Unis
EUR 33,70
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Ajouter au panierpaperback. Etat : New.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 45,84
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Technics Publications LLC, Bradley Beach, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Edition originale
EUR 55,86
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Ajouter au panierPaperback. Etat : new. Paperback. A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used. This book can be viewed as a set of essential tools we need for a long-term career in the data science field - recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 41,96
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Edité par Technics Publications LLC, US, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 60,24
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 52,65
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Ajouter au panierEtat : New. Num Pages: 230 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. First. Paperback. . . . .
Edité par Technics Publications 2015-10, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 47,31
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Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 65,15
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Ajouter au panierEtat : New. Num Pages: 230 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. First. Paperback. . . . . Books ship from the US and Ireland.
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 44,45
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. Build real-world machine learning solutions from scratch using R-no advanced math or prior coding experience required.This second edition of Machine Learning and Data Science offers an accessible, hands-on introduction to the core principles of machine learning, statistical modeling, and practical data science-without overwhelming readers with complex formulas or technical jargon. Perfect for beginners, analysts, and business professionals transitioning into data science, this book provides a complete project-based roadmap from data wrangling to model deployment using the powerful R programming language. Whether you're analyzing marketing trends, predicting customer behavior, or detecting fraud, this book equips you with the foundation needed to solve real problems using machine learning.Author and data scientist Daniel D. Gutierrez draws on his experience teaching at UCLA and years of industry practice to guide you through essential topics, including regression, classification, clustering, feature engineering, and model evaluation. You'll explore supervised and unsupervised learning techniques, apply visualization strategies, and build intuitive workflows that mirror the data science process used by professionals across finance, healthcare, marketing, and more. Unlike overly theoretical texts, this guide emphasizes application-what to do, why to do it, and how to do it in R.Inside, you'll find step-by-step tutorials, use case examples from Kaggle competitions, and easy-to-follow code snippets that let you apply machine learning concepts immediately. Learn how to access and clean real-world data sets, implement algorithms like decision trees, random forests, logistic regression, and k-means clustering, and avoid common pitfalls such as data leakage and overfitting. Move from exploratory data analysis to powerful predictive modeling.Whether you're a student, aspiring data scientist, or working analyst seeking to expand your skills, this is your essential, beginner-friendly guide to statistical learning and machine learning with R. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 41,39
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Ajouter au panierEtat : New. KlappentextrnrnA practitioner s tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access.
Edité par Technics Publications LLC, Bradley Beach, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Edition originale
EUR 85,06
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used. This book can be viewed as a set of essential tools we need for a long-term career in the data science field - recommendations are provided for further study in order to build advanced skills in tackling important data problem domains. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Technics Publications Okt 2015, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,64
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware - A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field - recommendations are provided for further study in order to build advanced skills in tackling important data problem domains.The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work. All of the code examples for the book are written in R. In addition, many popular R packages and data sets will be used.
Edité par Technics Publications LLC, US, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 55,90
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Ajouter au panierPaperback. Etat : New.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 39,89
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Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 45,84
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 53,60
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Edité par Technics Publications LLC, 2015
ISBN 10 : 1634620968 ISBN 13 : 9781634620963
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 45,61
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build real-world machine learning solutions from scratch using R-no advanced math or prior coding experience required.This second edition of Machine Learning and Data Science offers an accessible, hands-on introduction to the core principles of machine learning, statistical modeling, and practical data science-without overwhelming readers with complex formulas or technical jargon. Perfect for beginners, analysts, and business professionals transitioning into data science, this book provides a complete project-based roadmap from data wrangling to model deployment using the powerful R programming language. Whether you're analyzing marketing trends, predicting customer behavior, or detecting fraud, this book equips you with the foundation needed to solve real problems using machine learning.Author and data scientist Daniel D. Gutierrez draws on his experience teaching at UCLA and years of industry practice to guide you through essential topics, including regression, classification, clustering, feature engineering, and model evaluation. You'll explore supervised and unsupervised learning techniques, apply visualization strategies, and build intuitive workflows that mirror the data science process used by professionals across finance, healthcare, marketing, and more. Unlike overly theoretical texts, this guide emphasizes application-what to do, why to do it, and how to do it in R.Inside, you'll find step-by-step tutorials, use case examples from Kaggle competitions, and easy-to-follow code snippets that let you apply machine learning concepts immediately. Learn how to access and clean real-world data sets, implement algorithms like decision trees, random forests, logistic regression, and k-means clustering, and avoid common pitfalls such as data leakage and overfitting. Move from exploratory data analysis to powerful predictive modeling.Whether you're a student, aspiring data scientist, or working analyst seeking to expand your skills, this is your essential, beginner-friendly guide to statistical learning and machine learning with R.