- Statistical Modeling
- Embeddings
- Probability & Statistics
- Algorithms
- Artificial Neural Networks
- Natural Language Processing
- Text Mining
- Machine Learning Methods
- Markov Model
- Data Preprocessing
Natural Language Processing with Probabilistic Models
Completed by Muhanad Atef
November 3, 2020
30 hours (approximately)
Muhanad Atef'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
