Dimensionality reduction is a technique used to reduce the number of features in a dataset while preserving as much information as possible. This unit will cover the different types of dimensionality reduction techniques, their advantages and disadvantages, and how to apply them to real-world datasets. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Linear Regression
• Logistic Regression
• Decision Trees
• Clustering
• Q-Learning
• Policy Gradients