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230808 ||| eng |
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|a 9781804612996
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| 050 |
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4 |
|a QA76.9.N38
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| 100 |
1 |
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|a Dahl, Deborah Anna
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| 245 |
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|a Natural language understanding with Python
|b combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
|c Deborah A. Dahl
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| 260 |
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|a Birmingham, UK
|b Packt
|c 2023
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| 300 |
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|a xxi, 303 pages
|b illustrations
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| 505 |
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|a Includes bibliographical references and index
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| 505 |
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|a Table of Contents Natural Language Understanding, Related Technologies, and Natural Language Applications Identifying Practical Natural Language Understanding Problems Approaches to Natural Language Understanding - Rule-Based Systems, Machine Learning, and Deep Learning Selecting Libraries and Tools for Natural Language Understanding Natural Language Data - Finding and Preparing Data Exploring and Visualizing Data Selecting Approaches and Representing Data Rule-Based Techniques Machine Learning Part 1 - Statistical Machine Learning Machine Learning Part 2 - Neural Networks and Deep Learning Techniques Machine Learning Part 3 - Transformers and Large Language Models Applying Unsupervised Learning Approaches How Well Does It Work? - Evaluation What to Do If the System Isn't Working Summary and Looking to the Future
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| 653 |
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|a Python (Computer program language) / fast
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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| 653 |
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|a Traitement automatique des langues naturelles
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| 653 |
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|a Natural language processing (Computer science) / fast
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| 653 |
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|a Python (Langage de programmation)
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| 653 |
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|a Natural language processing (Computer science) / http://id.loc.gov/authorities/subjects/sh88002425
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9781804612996
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| 776 |
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|z 9781804613429
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| 776 |
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|z 1804612995
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| 776 |
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|z 1804613428
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781804613429/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 500
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| 082 |
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|a 006.3/5
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| 520 |
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|a "This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. Anyone interested in addressing natural language problems will find this book useful. Working knowledge in Python is a must."--Provided by publisher
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