- Embeddings
- Algorithms
- Machine Learning Methods
- Text Mining
- Probability & Statistics
- Natural Language Processing
- Statistical Modeling
- Markov Model
- Data Preprocessing
- Artificial Neural Networks
Natural Language Processing with Probabilistic Models
Completed by Thomas George
January 15, 2021
30 hours (approximately)
Thomas George'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
