Natural Language Processing with Probabilistic Models
Completed by Peter Baksa
March 11, 2024
30 hours (approximately)
Peter Baksa'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: Machine Learning Methods
- Category: Data Cleansing
- Category: Natural Language Processing
- Category: Artificial Neural Networks
- Category: Algorithms
- Category: Embeddings
- Category: Deep Learning
- Category: Markov Model
- Category: Probability & Statistics
- Category: Data Preprocessing
