Natural Language Processing with Probabilistic Models
Completed by Tibor Ferenczi
January 30, 2024
30 hours (approximately)
Tibor Ferenczi'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: Probability & Statistics
- Category: Deep Learning
- Category: Markov Model
- Category: Data Preprocessing
- Category: Embeddings
- Category: Algorithms
- Category: Data Cleansing
- Category: Machine Learning Methods
- Category: Natural Language Processing
