- Data Preprocessing
- Probability & Statistics
- Embeddings
- Markov Model
- Statistical Modeling
- Natural Language Processing
- Machine Learning Methods
- Text Mining
- Algorithms
- Artificial Neural Networks
Natural Language Processing with Probabilistic Models
Completed by Anup Vasu Padaki
December 18, 2020
30 hours (approximately)
Anup Vasu Padaki'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
