Natural Language Processing with Probabilistic Models
Completed by Shengzhe ZHANG
August 11, 2020
30 hours (approximately)
Shengzhe ZHANG'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: Natural Language Processing
- Category: Artificial Neural Networks
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Markov Model
- Category: Probability & Statistics
