Natural Language Processing with Probabilistic Models
Completed by Samuel Mengesha Weyesa
July 7, 2024
30 hours (approximately)
Samuel Mengesha Weyesa'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: Embeddings
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Natural Language Processing
- Category: Algorithms
- Category: Markov Model
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
