- Text Mining
- Probability & Statistics
- Embeddings
- Statistical Modeling
- Machine Learning Methods
- Artificial Neural Networks
- Markov Model
- Data Preprocessing
- Algorithms
- Natural Language Processing
Natural Language Processing with Probabilistic Models
Completed by Michael Lisin
November 1, 2021
30 hours (approximately)
Michael Lisin'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
