This unit introduces decision tree algorithms and ensemble methods like random forests and boosting. Students will gain proficiency in applying these methods to real-world machine learning problems. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Overview of Machine Learning
• Introduction to Machine Learning
• Supervised Learning
• Linear Regression and Classification
• Unsupervised Learning
• Model Selection and Evaluation
• Support Vector Machines and Kernel Methods
• Linear Regression