- N-gram Language Models
- Autocorrect
- Parts-of-Speech Tagging
- Word2vec
Natural Language Processing with Probabilistic Models
Completed by HARSH SHARMA
October 14, 2020
30 hours (approximately)
HARSH SHARMA'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
