This unit delves into the techniques for evaluating the performance of machine learning models, covering evaluation metrics, cross-validation techniques, and hyperparameter optimization. Students will gain the skills to assess the accuracy, robustness, and generalizability of their models. 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