This unit introduces unsupervised learning, a powerful technique for discovering hidden patterns and structures in unlabeled data. Students will learn about clustering and dimensionality reduction algorithms, such as k-means and PCA, and apply them to real-world datasets. 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
• Decision Trees and Ensemble Methods
• Model Selection and Evaluation
• Support Vector Machines and Kernel Methods
• Linear Regression