Natural Language Processing with Probabilistic Models
Completed by Simon Daniel Eiriksson
February 23, 2026
30 hours (approximately)
Simon Daniel Eiriksson'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: Deep Learning
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Natural Language Processing
- Category: Artificial Neural Networks
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Markov Model
- Category: Probability & Statistics
