- Natural Language Processing
- Embeddings
- Algorithms
- Data Preprocessing
- Artificial Neural Networks
- Markov Model
- Text Mining
- Probability & Statistics
- Machine Learning Methods
- Statistical Modeling
Natural Language Processing with Probabilistic Models
Completed by Srinivasan Chandrasekaran Janarthanam
August 16, 2020
30 hours (approximately)
Srinivasan Chandrasekaran Janarthanam'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
