Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Oktober 2024
Genre:	Naturwissensch., Medizin, Technik
	Algorithms / Bayesiananalysis / Data Mining / datadrivensciences / DataScience / Learningfromdata / Maschinelles Lernen / Nachrichtententechnik, Telekommunikation / predictionmodels mehr...
ISBN:	9783031133411
EAN-Code:	9783031133411
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 30 mm
Gewicht:	999 gr
Seiten:	596
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.