Monday, July 29, 2024

Natural Language Processing Books (Jul 2024)

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Red Italic: Also in Apr 2020 Listing [ Ref: 2020 Listing ]

Blue & Upright: New Additions in Jul 2024 Listing Blue & Bold: New Additions About Transformers in Jul 2024 Listing

Listing

1. Speech and Language Processing Daniel Jurafsky, 2000 2. Natural Language Processing with Python Steven Bird, 2009 3. Foundations of Statistical Natural Language Processing Christopher D. Manning, 1999

4. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems Harshit Surana, 2020

5. Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python Hannes Hapke, 2019 6. Neural Network Methods in Natural Language Processing Yoav Goldberg, 2017 7. Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning Delip Rao, 2019 8. Handbook of Natural Language Processing 2010 9. Text Mining with R: A Tidy Approach Julia Silge, 2017 10. The Handbook of Computational Linguistics and Natural Language Processing 2010 11. Taming Text: How to Find, Organize, and Manipulate It Thomas S. Morton, 2012 12. The Oxford Handbook of Computational Linguistics Ruslan Mitkov, 2003 13. Introduction to Natural Language Processing Jacob Eisenstein, 2019

14. Natural Language Processing with Transformers Lewis Tunstall, 2022 15. Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More Denis Rothman, 2021

16. Deep Learning in Natural Language Processing 2018

17. Deep Learning for Natural Language Processing Stephan Raaijmakers, 2022

18. Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: the Data Scientist's Manual to Data Mining, Deep Learning & Natural Language Processing Peter Ghavami, 2016 19. Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning Tony Ojeda, 2018

20. Getting Started with Natural Language Processing Ekaterina Kochmar, 2022

21. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Aurelien Geron, 2017 22. Introduction to information retrieval Christopher D. Manning, 2008 23. Deep Learning for Natural Language Processing: Creating Neural Networks with Python Karan Jain, 2018 24. Natural Language Processing with Java: Techniques for Building Machine Learning and Neural Network Models for NLP, 2nd Edition Richard M Reese, 2018 25. Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax Emily M. Bender, 2013 26. Deep Learning for NLP and Speech Recognition James Whitaker, 2019

27. Natural Language Understanding James F. Allen, 1987 28. Natural Language Annotation for Machine Learning James Pustejovsky, 2012 29. NATURAL LANGUAGE PROCESSING: A PANINIAN PERSPECTIVE Rajeev Sangal, 1996 30. Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 Denis Rothman, 2024 31. Mastering Large Language Models with Python Raj Arun R, 2024 32. Natural Language Processing and Information Retrieval U. S. Tiwary, 2008 33. Statistical Machine Translation Philipp Koehn, 2009

34. Python Text Processing with Nltk 2.0 Cookbook: Lite Jacob Perkins, 2011

35. Advanced Natural Language Processing with TensorFlow 2: Build Effective Real-world NLP Applications Using NER, RNNs, Seq2seq Models, Transformers, and More Ashish Bansal, 2021 36. Blueprints for Text Analytics Using Python Jens Albrecht, 2020 37. Applied Natural Language Processing in the Enterprise Ankur A. Patel, 2021

38. Natural Language Processing with TensorFlow: Teach Language to Machines Using Python's Deep Learning Library Thushan Ganegedara, 2018

39. Computational Nonlinear Morphology George Kiraz, 2001

40. Introduction to Machine Learning with Python: A Guide for Data Scientists Sarah Guido, 2016

41. Artificial Intelligence For Dummies John Mueller, 2018 42. Deep Learning: A Visual Approach Andrew Glassner, 2021 43. Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs Sinan Ozdemir, 2023 44. AI and Machine Learning for Coders Laurence Moroney, 2020 45. Machine Learning with PyTorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python Liu Yuxi

46. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Aurelien Geron, 2022

47. What Is ChatGPT Doing ... and Why Does It Work? Stephen Wolfram, 2023 48. The Business Case for AI: A Leader's Guide to AI Strategies, Best Practices & Real-World Applications Kavita Ganesan, 2022 49. Essential Math for AI Hala Nelson, 2022 50. The AI Revolution in Medicine: GPT-4 and Beyond Peter Lee, 2023 51. The ChatGPT Millionaire: Making Money Online Has Never Been this Easy Neil Dagger, 2023 52. Getting Started with Google BERT. Build and train state-of-the-art NLP models Sudharsan Ravichandiran Packt (2021)

Tags: List of Books,Natural Language Processing,Large Language Models,Generative AI,Deep Learning,

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