- Artificial Neural Networks
- Algorithms
- Natural Language Processing
- Data Processing
- Markov Model
- Machine Learning Methods
- Probability & Statistics
- Text Mining
- Linear Algebra
Natural Language Processing with Probabilistic Models
Completed by Eugene Beidl
January 10, 2021
30 hours (approximately)
Eugene Beidl'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
