Natural Language Processing: A Textbook with Python Implementation
A

Natural Language Processing: A Textbook with Python Implementation

Natural Language Processing
natural language processing Python machine learning deep learning Transformer BERT NLTK
Author
Raymond S. T. Lee
Publisher
Springer Nature Singapore
Year
2024
Language
English
32
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

Dr. Deepti Chopra

Natural Language Processing in Action: Understanding, analyzing, and generating text with Python

Natural Language Processing in Action: Understanding, analyzing, and generating text with Python

Hobson Lane, Cole Howard, Hannes Max Hapke

Text Analytics with Python: A Practitioner’s Guide to Natural Language Processing, Second Edition

Text Analytics with Python: A Practitioner’s Guide to Natural Language Processing, Second Edition

Dipanjan Sarkar

Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python

Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python

Raj Arun R

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana

Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models, Second Edition

Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models, Second Edition

Nimish Sanghi

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Taweh Beysolow II

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Pramod Singh, Avinash Manure

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Santanu Pattanayak