- Autocorrect
- N-gram Language Models
- Parts-of-Speech Tagging
- Statistical Programming
- Machine Learning
- Word2vec
- Python Programming
Natural Language Processing with Probabilistic Models
Completed by Rolando Treviño Lozano
January 13, 2021
30 hours (approximately)
Rolando Treviño Lozano's account is verified. Coursera certifies their successful completion of Natural Language Processing with Probabilistic Models
What you will learn
Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words.
Skills you will gain
