- 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 RAHUL PRABHAKAR
June 25, 2021
30 hours (approximately)
RAHUL PRABHAKAR'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
