- Markov Model
- Probability & Statistics
- Text Mining
- Algorithms
- Linear Algebra
- Natural Language Processing
- Artificial Neural Networks
- Data Processing
- Machine Learning Methods
Natural Language Processing with Probabilistic Models
Completed by Saurabh Wagh
May 16, 2024
30 hours (approximately)
Saurabh Wagh'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
