Natural Language Processing with Probabilistic Models
Completed by Xiaotong Chen
August 31, 2020
30 hours (approximately)
Xiaotong Chen'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: Deep Learning
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Data Cleansing
