Verwandte Artikel zu Machine Learning and Data Science: An Introduction...
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R - Softcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Daniel D. Gutierrez is a practicing data scientist through his Santa Monica, Calif. consulting firm AMULET Analytics. Daniel also serves as Managing Editor for insideBIGDATA.com where he keeps a pulse on this dynamic industry. He is also an educator and teaches classes in data science, machine learning and R for universities and large enterprises. Daniel holds a BS degree in mathematics and computer science from UCLA.
Von der hinteren Coverseite
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.
Aus dem Klappentext
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Gebraucht kaufen
Zustand: BefriedigendIt's a preowned item in good condition...
Diesen Artikel anzeigen
EUR 13,82
Gratis für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 46,05
EUR 5,81 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & DauerSuchergebnisse für Machine Learning and Data Science: An Introduction...
Beispielbild für diese ISBN
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Verlag:
Technics Publications (edition First Edition), 2015
ISBN 10: 1634620968
ISBN 13: 9781634620963
Gebraucht
Paperback
Erstausgabe
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: 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. Artikel-Nr. 1634620968-11-1
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning and Data Science
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. GZ-9781634620963
Anzahl: 15 verfügbar
Beispielbild für diese ISBN
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9781634620963_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: 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. Artikel-Nr. V9781634620963
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Machine Learning and Data Science
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: 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. Artikel-Nr. 904647021
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Machine Learning and Data Science : An Introduction to Statistical Learning Methods with R
Verlag:
Technics Publications Okt 2015, 2015
ISBN 10: 1634620968
ISBN 13: 9781634620963
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. 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. Artikel-Nr. 9781634620963
Anzahl: 2 verfügbar