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: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Embeddings
- Category: Data Cleansing
- Category: Algorithms
- Category: Markov Model
- Category: Data Preprocessing
- Category: Probability & Statistics
