Natural Language Processing with Probabilistic Models
Completed by Martin B. Bagaram
February 8, 2021
30 hours (approximately)
Martin B. Bagaram'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: Algorithms
- Category: Natural Language Processing
- Category: Text Mining
- Category: Machine Learning Methods
- Category: Probability & Statistics
- Category: Markov Model
- Category: Artificial Neural Networks
- Category: Statistical Modeling
- Category: Data Preprocessing
- Category: Embeddings
