- Artificial Neural Networks
- Statistical Modeling
- Embeddings
- Probability & Statistics
- Text Mining
- Algorithms
- Markov Model
- Natural Language Processing
- Machine Learning Methods
- Data Preprocessing
Natural Language Processing with Probabilistic Models
Completed by Amrita Singh
May 16, 2024
30 hours (approximately)
Amrita Singh'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
