- 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 Guilherme Gomes
February 28, 2021
30 hours (approximately)
Guilherme Gomes'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
