- Artificial Neural Networks
- Text Mining
- Algorithms
- Probability & Statistics
- Machine Learning Methods
- Markov Model
- Embeddings
- Natural Language Processing
- Data Preprocessing
- Statistical Modeling
Natural Language Processing with Probabilistic Models
Completed by CHENHUI SHEN
July 20, 2020
30 hours (approximately)
CHENHUI SHEN'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
