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