- Data Preprocessing
- Algorithms
- Artificial Neural Networks
- Natural Language Processing
- Text Mining
- Probability & Statistics
- Markov Model
- Machine Learning Methods
- Embeddings
- Statistical Modeling
Natural Language Processing with Probabilistic Models
Completed by Jonathan Klaiber
July 7, 2020
30 hours (approximately)
Jonathan Klaiber'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
