Natural Language Processing with Probabilistic Models
Completed by Naman Deep Singh
September 12, 2024
30 hours (approximately)
Naman Deep Singh'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: Deep Learning
- Category: Machine Learning Methods
- Category: Data Cleansing
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Natural Language Processing
- Category: Algorithms
