Natural Language Processing with Probabilistic Models
Completed by Zihao Zhou
January 23, 2022
30 hours (approximately)
Zihao Zhou'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: Probability & Statistics
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Markov Model
- Category: Natural Language Processing
- Category: Data Cleansing
- Category: Embeddings
- Category: Algorithms
- Category: Artificial Neural Networks
