- Embeddings
- Statistical Modeling
- Text Mining
- Data Preprocessing
- Markov Model
- Artificial Neural Networks
- Natural Language Processing
- Algorithms
- Probability & Statistics
- Machine Learning Methods
Natural Language Processing with Probabilistic Models
Completed by William Andrew Hemsley
March 31, 2021
30 hours (approximately)
William Andrew Hemsley'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
