Natural Language Processing with Probabilistic Models
Completed by amath SOW
September 24, 2020
30 hours (approximately)
amath SOW'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: Markov Model
- Category: Data Cleansing
- Category: Deep Learning
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Probability & Statistics
- Category: Data Preprocessing
