- Embeddings
- Artificial Neural Networks
- Probability & Statistics
- Natural Language Processing
- Statistical Modeling
- Data Preprocessing
- Markov Model
- Machine Learning Methods
- Algorithms
- Text Mining
Natural Language Processing with Probabilistic Models
Completed by Ignas Andrijauskas
October 24, 2020
30 hours (approximately)
Ignas Andrijauskas'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
