Natural Language Processing with Probabilistic Models @ Coursera

~deeplearning.ai

Index

• Week 1
• Week 2
• Week 3
• Week 4
• Certificate

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 🎓