Supervised Learning
Bachelor of Science in Computer Science · University · Artificial Intelligence
This unit introduces supervised learning algorithms, including linear regression, logistic regression, and decision trees. Students will gain a deep understanding of how these algorithms work and how to apply them to real-world problems.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Supervised Learning
- Types of Supervised Learning Algorithms
- Linear Regression
- Logistic Regression
- Decision Trees
- Model Evaluation and Selection
- Overfitting and Underfitting
- Bias-Variance Tradeoff
Stichworte
- Supervised Learning
- Classification
- Regression
- Overfitting
- Underfitting