Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Februar 2026
Genre:	EDV / Informatik
	Computernetzwerke und maschinelle Kommunikation
ISBN:	9786209668753
EAN-Code:	9786209668753
Verlag:	LAP Lambert Academic Publishing
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 220 mm / B 150 mm / D 4 mm
Gewicht:	107 gr
Seiten:	60
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In machine learning, models and algorithms can learn from data and make predictions or judgments without explicit programming are developed. Machine learning is a subfield of artificial intelligence (AI). Machine learning uses a wide range of important algorithms and techniques. A list of machine learning algorithms is shown below: Support Vector Machine Algorithm, Decision Tree Classification Algorithm, Random Forest Algorithm, Logistic Regression Algorithm, Linear Regression Algorithm, K-Nearest Neighbor (KNN) Algorithm, Naïve Bayes Classifier Algorithm, K-Means Clustering Algorithm, XG-Boost Algorithm. These algorithms are employed in many different areas, such as robotics, marketing, healthcare, and finance, and they form the foundation of machine learning. The choice of algorithm is influenced by the nature of the problem, the characteristics of the data, and the available computing capacity.