Natural Language Processing with Probabilistic Models
Completed by Cyril Matthey-Doret
March 9, 2021
30 hours (approximately)
Cyril Matthey-Doret'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: Deep Learning
- Category: Machine Learning Methods
- Category: Embeddings
- Category: Algorithms
- Category: Markov Model
- Category: Natural Language Processing
- Category: Data Cleansing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Artificial Neural Networks
