Natural Language Processing with Probabilistic Models @ Coursera
~deeplearning.ai
Index
Week 1
- Lab: Building The Vocabulary
- Lab: Candidates From Edits
- Levenshtein Distance Algorithm
- Programming Assignment: Autocorrect
Week 2
- Lab: Working With Text Data: Creating Vocabulary and Handling Unknown Words
- Lab: Working With Tags & NumPy
- Programming Assignment: Part of Speech Tagging Using Viterbi Algorithm
Week 3
- Lab: Corpus Preprocessing for N-Grams
- Lab: Building the Language Model
- Lab: Out of Vocabulary Words
- Programming Assignment: Autocomplete
Week 4
- Lab: Data Pre-Processing
- Lab: Activation Functions
- Lab: Training The CBOW (Continuous Bag of Words) Model
- Lab: Word Embeddings
- Lab: Word Embeddings - The Full Pipeline
- Programming Assignment: Word Embeddings
Certificate 🎓
