Natural Language Processing with Probabilistic Models
Completed by Marcus de Assis Angeloni
September 7, 2024
30 hours (approximately)
Marcus de Assis Angeloni'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: Algorithms
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Markov Model
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Data Cleansing
- Category: Probability & Statistics
- Category: Data Preprocessing
