Published by Technics Publications (edition First Edition), 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Add to basketpaperback. Condition: Very Good. Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Published by Technics Publications -, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications LLC, Bradley Beach, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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First Edition
Paperback. Condition: 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.
Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications LLC, US, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications 2015-10, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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ISBN 10: 1634620968 ISBN 13: 9781634620963
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Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Add to basketCondition: New. Num Pages: 230 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 235 x 190. . . 2015. First. Paperback. . . . .
Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications Okt 2015, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Add to basketTaschenbuch. Condition: 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.
Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Add to basketCondition: 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.
Published by Technics Publications LLC, Bradley Beach, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
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Add to basketPaperback. Condition: 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.
Published by Technics Publications LLC, US, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 620.
Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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Published by Technics Publications, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Language: English
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