Tika In Action

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Tika In Action
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Author : Jukka L. Zitting
language : en
Publisher: Simon and Schuster
Release Date : 2011-11-30
Tika In Action written by Jukka L. Zitting and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-30 with Computers categories.
Summary Tika in Action is a hands-on guide to content mining with Apache Tika. The book's many examples and case studies offer real-world experience from domains ranging from search engines to digital asset management and scientific data processing. About the Technology Tika is an Apache toolkit that has built into it everything you and your app need to know about file formats. Using Tika, your applications can discover and extract content from digital documents in almost any format, including exotic ones. About this Book Tika in Action is the ultimate guide to content mining using Apache Tika. You'll learn how to pull usable information from otherwise inaccessible sources, including internet media and file archives. This example-rich book teaches you to build and extend applications based on real-world experience with search engines, digital asset management, and scientific data processing. In addition to architectural overviews, you'll find detailed chapters on features like metadata extraction, automatic language detection, and custom parser development. This book is written for developers who are new to both Scala and Lift and covers just enough Scala to get you started. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Crack MS Word, PDF, HTML, and ZIP Integrate with search engines, CMS, and other data sources Learn through experimentation Many examples This book requires no previous knowledge of Tika or text mining techniques. It assumes a working knowledge of Java. ========================================== Table of Contents PART 1 GETTING STARTED The case for the digital Babel fish Getting started with Tika The information landscape PART 2 TIKA IN DETAIL Document type detection Content extraction Understanding metadata Language detection What's in a file? PART 3 INTEGRATION AND ADVANCED USE The big picture Tika and the Lucene search stack Extending Tika PART 4 CASE STUDIES Powering NASA science data systems Content management with Apache Jackrabbit Curating cancer research data with Tika The classic search engine example
A Careful Revolution
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Author : Amelia Sharman
language : en
Publisher: Bridget Williams Books
Release Date : 2019
A Careful Revolution written by Amelia Sharman and has been published by Bridget Williams Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Science categories.
‘I am 29 years old. I was born just before the Kyoto Protocol was signed, and since then global mean temperatures have risen by an estimated 0.2°C per decade . . . in my lifetime I am likely to experience a world that is 2°C warmer, perhaps as much as 4°C, and has more droughts, fires and floods.’ Sylvia Nissen Climate crisis is upon us. By choice or necessity, New Zealand will transition to a low-emissions future. But can this revolution be careful? Can it be attentive to the disruptions it inevitably creates? Or will carefulness simply delay and dilute the changes that future people require of us? This timely collection brings together eleven authors to explore the politics and practicalities of the low-emissions transition, touching on issues of justice, tikanga, trade-offs, finance, futurism, adaptation, and more.
Lucene In Action
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Author : Michael McCandless
language : en
Publisher: Manning Publications
Release Date : 2010
Lucene In Action written by Michael McCandless and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Lucene remains an indispensable part of most enterprise applications. This search engine now powers Web options in diverse companies, including Netflix, LinkedIn, and the Mayo Clinic. This updated edition is the definitive guide to developing with Lucene.
Backstage Leadership
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Author : Charles Galunic
language : en
Publisher: Springer Nature
Release Date : 2020-06-10
Backstage Leadership written by Charles Galunic and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-10 with Business & Economics categories.
Most of us would recognize a star leader by their charisma, emotional intelligence and public communication prowess. What is truly impressive but often overlooked is the silent work of leadership that garners real results. Exercising influence in a complex and global organization – whilst also shaping and executing strategies across borders in a disruptive age – is the true mark of success as a leader. Backstage Leadership takes a comprehensive look at the background processes that leaders must master in order to shape the culture, direction and capability of a successful company. With an emphasis on strategy, the author provides an integrated toolkit for developing your knowledge and skills as a 'backstage leader.' You will learn how to: Mobilize people towards new strategic directions Scan your business environment for threats and disruptive forces Diagnose and help to shape the culture of your organization Develop talent and capabilities towards a specific goal. Focusing on the key and consistent underlying processes of leadership, this book is essential reading for managers who wish to bring focus and coherence to their leadership role and integrate themselves within the engine of the organization.
The Little Clay Cart
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Author : Śūdraka
language : en
Publisher:
Release Date : 1905
The Little Clay Cart written by Śūdraka and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1905 with Sanskrit drama categories.
Drama, on the love of Carudatta, an impoverished merchant, for Vasantasena, a hetaera.
Making Maori Sentences
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Author : Lyndsay Head
language : mi
Publisher:
Release Date : 1989
Making Maori Sentences written by Lyndsay Head and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Social Science categories.
Dragons Of Autumn Twilight
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Author : Margaret Weis
language : en
Publisher:
Release Date : 2003-01
Dragons Of Autumn Twilight written by Margaret Weis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01 with Fiction categories.
The title that started the entire Dragonlance phenomenon is now being released in a trade hardcover edition for the first time, the first in a series of the core works by Weis and Hickman.
Taming Text
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Author : Grant S. Ingersoll
language : en
Publisher: Manning
Release Date : 2013-01-24
Taming Text written by Grant S. Ingersoll and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Computers categories.
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 developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier
Machine Learning With Tensorflow Second Edition
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Author : Mattmann A. Chris
language : en
Publisher: Manning
Release Date : 2021-02-02
Machine Learning With Tensorflow Second Edition written by Mattmann A. Chris and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-02 with Computers categories.
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 networks such as VGG-Face facial identification classifiers and deep speech classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need. About the book Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10. What's inside Machine Learning with TensorFlow Choosing the best ML approaches Visualizing algorithms with TensorBoard Sharing results with collaborators Running models in Docker About the reader Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x. About the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Table of Contents PART 1 - YOUR MACHINE-LEARNING RIG 1 A machine-learning odyssey 2 TensorFlow essentials PART 2 - CORE LEARNING ALGORITHMS 3 Linear regression and beyond 4 Using regression for call-center volume prediction 5 A gentle introduction to classification 6 Sentiment classification: Large movie-review dataset 7 Automatically clustering data 8 Inferring user activity from Android accelerometer data 9 Hidden Markov models 10 Part-of-speech tagging and word-sense disambiguation PART 3 - THE NEURAL NETWORK PARADIGM 11 A peek into autoencoders 12 Applying autoencoders: The CIFAR-10 image dataset 13 Reinforcement learning 14 Convolutional neural networks 15 Building a real-world CNN: VGG-Face ad VGG-Face Lite 16 Recurrent neural networks 17 LSTMs and automatic speech recognition 18 Sequence-to-sequence models for chatbots 19 Utility landscape
Deep Learning For Search
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Author : Tommaso Teofili
language : en
Publisher: Simon and Schuster
Release Date : 2019-06-02
Deep Learning For Search written by Tommaso Teofili and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-02 with Computers categories.
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 techniques without a deep background in data science or natural language processing (NLP). This book will show you how. About the Book Deep Learning for Search teaches you to improve your search results with neural networks. You'll review how DL relates to search basics like indexing and ranking. Then, you'll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you'll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn! What's inside Accurate and relevant rankings Searching across languages Content-based image search Search with recommendations About the Reader For developers comfortable with Java or a similar language and search basics. No experience with deep learning or NLP needed. About the Author Tommaso Teofili is a software engineer with a passion for open source and machine learning. As a member of the Apache Software Foundation, he contributes to a number of open source projects, ranging from topics like information retrieval (such as Lucene and Solr) to natural language processing and machine translation (including OpenNLP, Joshua, and UIMA). He currently works at Adobe, developing search and indexing infrastructure components, and researching the areas of natural language processing, information retrieval, and deep learning. He has presented search and machine learning talks at conferences including BerlinBuzzwords, International Conference on Computational Science, ApacheCon, EclipseCon, and others. You can find him on Twitter at @tteofili. Table of Contents PART 1 - SEARCH MEETS DEEP LEARNING Neural search Generating synonyms PART 2 - THROWING NEURAL NETS AT A SEARCH ENGINE From plain retrieval to text generation More-sensitive query suggestions Ranking search results with word embeddings Document embeddings for rankings and recommendations PART 3 - ONE STEP BEYOND Searching across languages Content-based image search A peek at performance