Module 2: Probability and Statistics for NLP

In Module 2 we’ll cover the probabilistic foundations and statistical models that underpin language processing:

• 2.1 Probability Theory & Bayes’ Rule
• 2.2 N-gram Language Models & Smoothing Techniques
• 2.3 Sequence Probability & the Chain Rule
• 2.4 Language Model Evaluation: Cross-Entropy & Perplexity
• 2.5 Naïve Bayes Text Classifier