- Markov Model
- Statistical Modeling
- Text Mining
- Algorithms
- Data Preprocessing
- Natural Language Processing
- Probability & Statistics
- Machine Learning Methods
- Artificial Neural Networks
- Embeddings
Natural Language Processing with Probabilistic Models
Completed by Ksenia Kharadzhieva
January 5, 2021
30 hours (approximately)
Ksenia Kharadzhieva'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
