- Embeddings
- Artificial Neural Networks
- Probability & Statistics
- Markov Model
- Statistical Modeling
- Algorithms
- Text Mining
- Natural Language Processing
- Machine Learning Methods
- Data Preprocessing
Natural Language Processing with Probabilistic Models
Completed by Aman Agarwal
September 8, 2020
30 hours (approximately)
Aman Agarwal'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
