Natural Language Processing with Probabilistic Models
Completed by Laurent Huang
July 3, 2020
30 hours (approximately)
Laurent Huang'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: Embeddings
- Category: Probability & Statistics
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Data Preprocessing
- Category: Algorithms
- Category: Data Cleansing
- Category: Machine Learning Methods
