- Artificial Neural Networks
- Algorithms
- Natural Language Processing
- Data Processing
- Markov Model
- Probability & Statistics
- Machine Learning Methods
- Text Mining
- Linear Algebra
Natural Language Processing with Probabilistic Models
Completed by Matthew Keeler
August 18, 2020
30 hours (approximately)
Matthew Keeler'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
