Natural Language Processing with Probabilistic Models
Completed by Mohamed Badr Ismail
February 17, 2021
30 hours (approximately)
Mohamed Badr Ismail'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: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Markov Model
- Category: Algorithms
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Embeddings
