- Embeddings
- Linear Algebra
- Artificial Neural Networks
- Statistical Modeling
- Algorithms
- Markov Model
- Machine Learning Methods
- Probability & Statistics
- Data Preprocessing
- Natural Language Processing
Natural Language Processing with Probabilistic Models
Completed by Samuel Varghese
January 3, 2025
30 hours (approximately)
Samuel Varghese'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
