This unit introduces supervised learning algorithms, such as Naive Bayes and Support Vector Machines, which are essential for training NLP models on labeled data. By the end of this unit, students will gain a solid understanding of how these algorithms work and how to apply them to real-world NLP tasks. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Definition and Overview
• Core Techniques
• Applications
• Unsupervised Learning
• Deep Learning
• Syntax and Semantics
• Morphology and Phonology
• Language Modeling