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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...
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...
딥러닝 기술을 활용해서 한층 더 진화된 검색 엔진을 완성한다! 신경망을 이용한 인공지능 검색 시스템의 원리와 활용! 딥러닝을 활용하면 검색어가 부정확하거나, 색인이 심하게 꼬여 있거나, 메타데이터가 거의 없는 상태에서도 이미지 검색과 같은 가장 까다로운 검색까지 처리할 수 있다. 또한, DL4J나 텐서플로와 같은 최신 도구를 사용하면 데이터 과학이나 자연어 처리에 대한 배경지식이 깊지 않아도 강력한 딥러닝 기술을 응용할 수 있다. 독자는 이 책을 통해 신경망을 사용하여 검색 결과를 향상시키는 방법을 배울 수 ...
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...
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.
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...
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 usi...
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...