- Embeddings
- Probability & Statistics
- Machine Learning Methods
- Data Preprocessing
- Artificial Neural Networks
- Markov Model
- Algorithms
- Natural Language Processing
- Statistical Modeling
- Text Mining
Natural Language Processing with Probabilistic Models
Completed by Rahul P
December 1, 2020
30 hours (approximately)
Rahul P'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
