Natural Language Processing with Probabilistic Models
Completed by Andrés Felipe Usuga
February 15, 2024
30 hours (approximately)
Andrés Felipe Usuga'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: Deep Learning
- Category: Machine Learning Methods
- Category: Data Cleansing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Embeddings
- Category: Markov Model
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Algorithms
