Natural Language Processing with Probabilistic Models
Completed by Thomas Gründer
January 2, 2021
30 hours (approximately)
Thomas Gründer'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: Algorithms
- Category: Text Mining
- Category: Embeddings
- Category: Data Cleansing
- Category: Markov Model
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Probability & Statistics
- Category: Data Preprocessing
