- Statistical Modeling
- Embeddings
- Artificial Neural Networks
- Probability & Statistics
- Markov Model
- Data Preprocessing
- Algorithms
- Linear Algebra
- Natural Language Processing
- Machine Learning Methods
Natural Language Processing with Probabilistic Models
Completed by Manas Dalakoti
February 16, 2021
30 hours (approximately)
Manas Dalakoti'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
