Natural Language Processing with Probabilistic Models
Completed by Nihar Mehta
November 28, 2021
30 hours (approximately)
Nihar Mehta'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: Probability & Statistics
- Category: Data Preprocessing
- Category: Machine Learning Methods
- Category: Data Cleansing
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Algorithms
- Category: Deep Learning
- Category: Markov Model
