- Computational Thinking
- Artificial Neural Networks
- Algorithms
- Computer Programming
- Natural Language Processing
- Data Processing
- Markov Model
- Probability & Statistics
- Machine Learning Algorithms
Natural Language Processing with Probabilistic Models
Completed by Asma GRAIESS
December 13, 2021
30 hours (approximately)
Asma GRAIESS'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
