- 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 Simon Georges-Kot
October 7, 2020
30 hours (approximately)
Simon Georges-Kot'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
