Machine Learning with R (PDF)

Name: Machine Learning with R
Brand: Springer-Verlag GmbH
SKU: 102300423
Price: 67.50 CHF
Availability: OnlineOnly

(Sprache: Englisch)

Autor: Abhijit Ghatak

Schreiben Sie einen Kommentar zu "Machine Learning with R".

Merken

Mehr zum Inhalt Autorenporträt Video

eBook (pdf) Fr. 67.50

Buch (Gebunden) Fr. 94.50

sofort als Download lieferbar

Bestellnummer: 102300423

Printausgabe Fr. 94.50

eBook (pdf) Fr. 67.50

inkl. MwSt.

Download bestellen

Verschenken

Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Machine Learning with R (PDF)“

This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it's applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning.

In turn, the second part discusses the algorithms used in supervised and unsupervised learning. It works out each learning algorithm mathematically and encodes it in R to produce customized learning applications. In the process, it touches upon the specifics of each algorithm and the science behind its formulation.

The book includes a wealth of worked-out examples along with R codes. It explains the code for each algorithm, and readers can modify the code to suit their own needs. The book will be of interest to all researchers who intend to use R for machine learning, and those who are interested in the practical aspects of implementing learning algorithms for data analysis. Further, it will be particularly useful and informative for anyone who has struggled to relate the concepts of mathematics and statistics to machine learning.

Autoren-Porträt von Abhijit Ghatak

Abhijit Ghatak is a Data Scientist and holds an ME in Engineering and MS in Data Science from Stevens Institute of Technology, USA. He started his career as a submarine engineer officer in the Indian Navy and worked on multiple data-intensive projects involving submarine operations and construction. He has worked in academia, technology companies and as a research scientist in the area of Internet of Things (IoT) and pattern recognition for the European Union (EU). He has published in the areas of engineering and machine learning and is presently a consultant in the area of pattern recognition and data analytics. His areas of research include IoT, stream analytics and design of deep learning systems.

eBook Hilfe

Informationen und Hilfe zu eBooks hier klicken!

Bibliographische Angaben

Autor: Abhijit Ghatak
2017, 1st ed. 2017, 210 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 9811068089
ISBN-13: 9789811068089
Erscheinungsdatum: 23.11.2017

Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.

eBook Informationen

Dateiformat: PDF
Grösse: 3.28 MB
Ohne Kopierschutz
Vorlesefunktion

Sprache:

Englisch

Kommentar zu "Machine Learning with R"

Schreiben Sie einen Kommentar zu "Machine Learning with R".

0 Gebrauchte Artikel zu „Machine Learning with R“

Zustand	Preis	Porto	Zahlung	Verkäufer	Rating