AI Publishing, 2020. — 350 p. — ISBN 173479013X, 9781734790139. Natural Language Processing Crash Course for Beginners Artificial Intelligence (AI) isn’t the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI,...
BPB Publications, 2021. — 164 p. — ISBN 978-93-90684-625. This book provides a solid foundation for 'Natural Language Processing' with pragmatic explanation and implementation of a wide variety of industry wide scenarios. After reading this book, one can simply jump to solve real world problems and join the league of NLP developers. It starts with the introduction of Natural...
O’Reilly Media, 2018. — 350 p. — ISIN 1491963042. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking...
O’Reilly Media, 2018. — 332 p. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is...
Packt, 2018. — 472 p. — ISBN: 978-1-78847-831-1 Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of...
2nd Edition. — Packt, 2022. — 514 p. — ISBN 1838641351, 9781838641351. From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models Key Features Learn to solve common NLP problems effectively with TensorFlow 2.x Implement end-to-end data...
Manning Publications Co., 2013. - 322 pages. На англ. языке. Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book...
Apress, 2022. — 169 p. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the...
O’Reilly Media, 2022. — 202 p. — ISBN 13: 978-1-098-11362-9. GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has...
2nd edition. — Apress, 2021. — 302 p. — ISBN 978-1-4842-7350-0. Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment...
Manning Publications, 2022. — 479 p. Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks. In Natural Language Processing in Action, Second Edition you will learn how to Process, analyze, understand, and generate natural language text Build...
2nd Edition. — Manning Publications, 2025. — 688 p. — ISBN 978-1617299445. Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human...
Springer Singapore, 2023. — 437 p. — eBook ISBN:978-981-99-1999-4. Up-to-date textbook on the basic concepts of Natural Language Processing Discusses the latest NLP-enabling technologies Step-by-step NLP workshops on Python implementation This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms...
LazyProgrammer, 2016. — 65 p. Recently, Microsoft’s Twitter bot “Tay” was released into the wild, and quickly began making racist and hateful statements after learning from other Twitter users. The technology behind this? Natural language processing. NLP is the use of machine learning algorithms for problems that involve text. Do you ever wonder why you get much less spam in your...
O’Reilly, 2023. — 44 p. Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prototypes to full-fledged applications has been slow. With this book, you'll learn the tools, techniques, and playbooks for building useful products that...
O’Reilly Media, 2021. — 336 p. — ISBN 978-1492062578. 2021-05-11: First Release NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most...
Manning Publications, 2022. — 325 p. — ISBN 978-1617295447. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply...
HYPEch.com Publishing, 2020. — 225 p. — ISBN B08P79K6Q1. With the increasing demand for In-car Systems, Health Care, Military, Telephone, and our daily life, Automatic Speech Recognition (ASR) related job market is booming right now. As the leading open source software in ASR field, Kaldi might be the best start point. We could learn all the concepts and technologies through...
Apress, 2021. — 192 p. — ISBN 9781484266632. Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including...
Packt Publishing, 2018. — 351 p. Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This...
Independently published, 2021. — 343 p. — ASIN B09BDD12TY. Before the advent of deep learning, traditional natural language processing (NLP) approaches had been widely used in tasks such as spam filtering, sentiment classification, and part of speech (POS) tagging. These classic approaches utilized statistical characteristics of sequences such as word count and co-occurrence,...
Selle Creative, 2023. — 169 p. Путешествие по миру с GPT: руководство цифрового кочевника по творчеству и продуктивности "Globetrotting with GPT: A Digital Nomad's Guide to Creativity and Productivity" is a must-read for anyone who wants to enhance their productivity, creativity, and personal growth as a digital nomad or remote worker. Susan Selle, a seasoned traveler and...
Apress, 2018. — 158 p. — ISBN: 1484237323. Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied...
Apress, 2021. — 702 p. — ISBN 978-1484270042. Build great voice apps of any complexity for any domain by learning both the how's and why's of voice development. In this book you’ll see how we live in a golden age of voice technology and how advances in automatic speech recognition (ASR), natural language processing (NLP), and related technologies allow people to talk to...
Packt, 2022. — 410 p. — ISBN 9781803242385. With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus...
Revised Edition. — O’Reilly Media, Inc., 2022. — 406 p. — ISBN 978-1-098-13679-6. • Revision History for the Revised Edition. 2022-05-27: First Release Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this...
O’Reilly Media, Inc., 2022. — 417 p. — ISBN 978-1-098-10324-8. • 2022-01-26: First Release Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large...
AI Sciences, 2018. — 77 p. Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners) This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples, you...
Комментарии