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Deep Learning for Search
Summary Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on! Foreword by Chris Mattmann. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL tech...
Natural Language Processing in Action, Second Edition
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks.Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you'll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you'll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. Natural Language Processing in Action, Second Edition is your gu...
HHAI 2023: Augmenting Human Intellect
Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather than replace them, and a novel field of study, with new approaches and solutions to the development of AI, has arisen to focus on this aspect of the technology. This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synerg...
Natural Language Processing in Action
Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-q...
Relevant Search
Summary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Users are accustomed to and expect instant, relevant search results. To achieve this, you must master the search engine. Yet for many developers, relevance ranking is mysterious or confusing. About the Book Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply ...
Обработка естественного языка в действии
Последние достижения в области глубокого обучения позволяют создавать приложения, с исключительной точностью распознающие текст и речь. Что в результате? Появляются чат-боты, ведущие диалог не хуже реальных людей, программы, эффективно подбирающие резюме под заданную вакансию, развивается превосходный предиктивный поиск, автоматически генерируются аннотации документов. Благ...
Elasticsearch in Action, Second Edition
Build powerful, production-ready search applications using the incredible features of Elasticsearch. In ElasticSearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of Elasticsearch Installing, configuring and running Elasticsearch and Kibana Creating an index with custom settings Data types, mapping fundamentals, and templates Fundamentals of text analysis and working with text analyzers Indexing, deleting, and updating documents Indexing data in bulk and reindexing and aliasing operations Learning search concepts, relevancy scores and similarity algorithms Elasticsearch in Action, Second Edition teaches you to build scalable search applications using ...
Taming Text
Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, 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 guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart dev...
파이썬으로 배우는 자연어 처리 인 액션
파이썬과 다양한 AI 패키지로 만드는 수준 높은 예제 최신 NLP 제품과 서비스 개발을 위한 실용주의적 안내서 최근 심층 학습(딥러닝) 기술이 발전하면서 응용 프로그램들이 대단히 정확하게 텍스트와 음성을 인식하게 되었다. 또한, 새로운 기술과 Keras나 TensorFlow 같은 사용하기 쉬운 도구들 덕분에 이제는 고품질 NLP(자연어 처리) 응용 프로그램을 예전보다 쉽게 만들어낼 수 있다. 『파이썬으로 배우는 자연어 처리 인 액션』은 사람의 언어를 읽고 해석할 수 있는 프로그램을 만들려는 모든 개발자를 위한 지침서다. 이 책에서는 바로 사용할 수 있는 파이썬 패키지들을 이용해서 텍스트의 의미를 포착하고 그에 따라 반응하는 챗봇을 구축한다. 또한, 전통적인 NLP 접근 방식들은 물론이고, 좀 더 최근의 심층 학습 알고리즘과 텍스트 생성 기법들을 동원해서 날짜와 이름 추출, 텍스트 작성, 비정형 질문에 대한 응답 같은 여러 실질적인 NLP 문제들을 해결한다.
Machine Learning with TensorFlow, Second Edition
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural net...
