Natural Language Processing: A Machine Learning Perspective Zhiyang Teng Cambridge University Press Αγγλικά Βιβλία Computing And Technology

With A Machine Learning Approach And Less Focus On Linguistic Details This Gentle Introduction To Natural Language Processing Develops Fundamental Mathematical Deep Models For Nlp Under Unified Framework Problems Are Systematically Organised By Their Nature Including Classification Sequence Labelling Sequence-To-Sequence Topics Covered Include Statistical Text Structured Prediction Generative Discriminative Supervised Unsupervised Latent Variables Neural Networks Transition-Based Methods Rich Connections Drawn Between Concepts Throughout The Book Equipping Students Tools Needed Establish Understanding Of Solutions Adapt Existing Confidently Develop Innovative Own Featuring Host Examples Intuition End Chapter Exercises Plus Sample Code Available As An Online Resource Textbook Is Invaluable Tool Upper Undergraduate Graduate Student Σελίδες: 484