Natural Language Processing with Probabilistic Models
Completed by Hamza Tuna
December 13, 2020
30 hours (approximately)
Hamza Tuna'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: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Machine Learning Methods
- Category: Algorithms
- Category: Deep Learning
- Category: Markov Model
- Category: Data Cleansing
