Natural Language Processing with Probabilistic Models
Completed by Aaron Szafer
January 2, 2024
30 hours (approximately)
Aaron Szafer'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: Deep Learning
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Markov Model
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Probability & Statistics
