Natural Language Processing with Probabilistic Models
Completed by Daniel Baena
December 6, 2020
30 hours (approximately)
Daniel Baena'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: Markov Model
- Category: Machine Learning Methods
- Category: Embeddings
- Category: Algorithms
- Category: Data Cleansing
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Artificial Neural Networks
- Category: Probability & Statistics
