- 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 DANG HUYNH KHANH LY
October 5, 2022
30 hours (approximately)
DANG HUYNH KHANH LY'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
