Natural Language Processing with Probabilistic Models
Completed by Kuangzheng Li
November 19, 2020
30 hours (approximately)
Kuangzheng Li'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: Probability & Statistics
- Category: Algorithms
- Category: Embeddings
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Artificial Neural Networks
- Category: Natural Language Processing
