- Markov Model
- Artificial Neural Networks
- Statistical Modeling
- Text Mining
- Algorithms
- Probability & Statistics
- Data Preprocessing
- Machine Learning Methods
- Natural Language Processing
- Embeddings
Natural Language Processing with Probabilistic Models
Completed by Chandan Kawatra
May 11, 2024
30 hours (approximately)
Chandan Kawatra'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
