Verlag: Technics Publications (edition First Edition), 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Good. First Edition. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Verlag: Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Sprache: Englisch
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In den WarenkorbZustand: 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.
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In den Warenkorbpaperback. Zustand: 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. .
Verlag: Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Sprache: Englisch
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Verlag: Technics Publications Okt 2015, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: 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.
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Verlag: Technics Publications LLC, 2015
ISBN 10: 1634620968 ISBN 13: 9781634620963
Sprache: Englisch
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In den WarenkorbZustand: 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.