This unit introduces Support Vector Machines (SVMs), a powerful supervised learning algorithm used for classification and regression. Students will learn the fundamental concepts of SVMs, including hyperplanes, kernel functions, and optimization techniques. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Decision Trees
• Naive Bayes
• K-Means Clustering
• Hierarchical Clustering
• Principal Component Analysis
• Factor Analysis