Natural Language Processing with Probabilistic Models
Completed by Wendy Wong
September 2, 2020
30 hours (approximately)
Wendy Wong'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: Data Preprocessing
- Category: Machine Learning Methods
- Category: Data Cleansing
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Embeddings
- Category: Algorithms
- Category: Probability & Statistics
