- Natural Language Processing
- Probability & Statistics
- Artificial Neural Networks
- Text Mining
- Data Preprocessing
- Embeddings
- Algorithms
- Machine Learning Methods
- Markov Model
- Statistical Modeling
Natural Language Processing with Probabilistic Models
Completed by Szymon Grad
December 26, 2020
30 hours (approximately)
Szymon Grad'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
