Machine Learning in Natural Language Processing

1743529972.png

Book Details

Author Fernando Pereira University of Pennsylvania
Publisher
Published Year
Pages
Language English
ISBN-10
ISBN-13

Machine Learning in Natural Language Processing by Fernando Pereira explores the intersection of machine learning techniques and natural language processing (NLP). The book provides a foundational understanding of how algorithms such as decision trees, maximum entropy models, and neural networks are applied to NLP tasks like parsing, tagging, and information extraction. With a focus on real-world applications and theoretical insights, it is an essential read for students and professionals aiming to build intelligent language-based systems.

Download Book   Add to Bookmark
Share   Share  

←Python and HDF5 Mastering Machine Learning with scikit-learn→

Prepare for Interview

Tutorials

Follow us on Linkedin

Random Blogs



Datasets for Machine Learning

Categories