Supervised Learning
Bachelor of Science in Computer Science · University · Machine Learning
This unit provides an overview of supervised learning, covering classification and regression tasks, model evaluation metrics, and common algorithms such as linear regression and decision trees. Students will gain a solid understanding of the principles and applications of supervised learning.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Supervised Learning
- Classification Tasks
- Regression Tasks
- Model Evaluation Metrics
- Linear Regression
- Decision Trees
- Overfitting and Underfitting
- Bias-Variance Tradeoff
Stichworte
- Supervised Learning
- Classification
- Regression
- Model Evaluation
- Overfitting
- Underfitting