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