Natural Language Processing with Probabilistic Models
Completed by Peter Jung
September 28, 2020
30 hours (approximately)
Peter Jung'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: Natural Language Processing
- Category: Algorithms
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Embeddings
- Category: Data Cleansing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Markov Model
