- Machine Learning Methods
- Markov Model
- Text Mining
- Artificial Neural Networks
- Data Preprocessing
- Probability & Statistics
- Statistical Modeling
- Algorithms
- Natural Language Processing
- Embeddings
Natural Language Processing with Probabilistic Models
Completed by Amiteshwar Sidhu
March 3, 2024
30 hours (approximately)
Amiteshwar Sidhu'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
