Natural Language Processing with Probabilistic Models
Completed by Xiaolong Zhang
February 12, 2021
30 hours (approximately)
Xiaolong Zhang'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: Markov Model
- Category: Data Cleansing
- Category: Machine Learning Methods
- Category: Natural Language Processing
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Algorithms
- Category: Probability & Statistics
- Category: Data Preprocessing
