- Markov Model
- Algorithms
- Machine Learning Methods
- Natural Language Processing
- Embeddings
- Probability & Statistics
- Data Preprocessing
- Artificial Neural Networks
- Text Mining
- Statistical Modeling
Natural Language Processing with Probabilistic Models
Completed by Michael Arthur Stewart
July 15, 2020
30 hours (approximately)
Michael Arthur Stewart'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
