This unit introduces dimensionality reduction techniques, such as PCA and LDA, and clustering algorithms, such as k-means and hierarchical clustering. Students will learn how to apply these techniques to real-world data to extract meaningful insights and make informed decisions. 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
• Decision Trees and Ensemble Methods
• Model Selection and Evaluation
• Support Vector Machines and Kernel Methods