Natural Language Processing with Probabilistic Models
Completed by Zhiwei Chang
January 4, 2024
30 hours (approximately)
Zhiwei Chang'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: Machine Learning Methods
- Category: Markov Model
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Natural Language Processing
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Algorithms
- Category: Embeddings
- Category: Text Mining
- Category: Data Cleansing
