- N-gram Language Models
- Autocorrect
- Parts-of-Speech Tagging
- Word2vec
Natural Language Processing with Probabilistic Models
Completed by Jingning Zhang
March 27, 2022
30 hours (approximately)
Jingning Zhang'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
