- Natural Language Processing
- Statistical Modeling
- Machine Learning Methods
- Data Preprocessing
- Artificial Neural Networks
- Embeddings
- Algorithms
- Markov Model
- Text Mining
- Probability & Statistics
Natural Language Processing with Probabilistic Models
Completed by Diego Duarte Bottero
October 3, 2021
30 hours (approximately)
Diego Duarte Bottero'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
