Machine Learning Process
Master of Science in Computer Science · University · Machine Learning
This unit introduces the fundamental steps involved in the machine learning process, from data collection and preprocessing to model selection, training, and evaluation. Students will gain a comprehensive understanding of the workflow and techniques used in machine learning.
Zum Üben gibt es 58 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Data Collection Methods
- Data Preprocessing Techniques
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Model Selection Criteria
- Model Training Techniques
- Model Evaluation Metrics
- Challenges and Limitations of Machine Learning
Stichworte
- Data Collection
- Data Preprocessing
- Model Selection
- Model Training
- Model Evaluation
- Machine Learning Workflow
- Supervised Learning
- Unsupervised Learning
- Classification
- Regression