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