- Machine Learning Methods
- Probability & Statistics
- Artificial Neural Networks
- Algorithms
- Text Mining
- Markov Model
- Embeddings
- Data Preprocessing
- Statistical Modeling
- Natural Language Processing
Natural Language Processing with Probabilistic Models
Completed by JosĂ© de JesĂșs Tapia LĂłpez
December 1, 2020
30 hours (approximately)
JosĂ© de JesĂșs Tapia LĂłpez'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
