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Showing 1 - 12 of 12 results for “michael uschold”
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  • Demystifying OWL for the Enterprise

    by Michael Uschold, Ying Ding, Paul Groth ...
    Series series Synthesis Lectures on Semantic Web: Theory and Technology
    The purpose of this book is to speed up the processing of learning and mastering the Web Ontology Language OWL. To that end, the focus is on the 30% of OWL that gets used 90% of the time.After a slow incubation period of nearly 15 years, a large and growing number of organizations now have one or more projects using the Semantic Web stack of technologies. The Web Ontology Language (OWL) is an ... Read more

    $40.49 USD

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  • Domain-Driven Design

    Tackling Complexity in the Heart of Software

    by Eric Evans ...
    Domain-Driven Design fills that need. This is not a book about specific technologies. It offers readers a systematic approach to domain-driven design, presenting an extensive set of design best practices, experience-based techniques, and fundamental principles that facilitate the development of software projects facing complex domains. Intertwining design and development practice, this book ... Read more

    $64.79 USD

  • Natural Language Processing with Python

    Analyzing Text with the Natural Language Toolkit

    by Steven Bird, Ewan Klein, Edward Loper ...
    This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range ... Read more

    $33.89 USD

  • Machine Learning for Hackers

    Case Studies and Algorithms to Get You Started

    by Drew Conway, John Myles White ...
    If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy ... Read more

    $30.99 USD

  • Object Thinking

    by David West ...
    Series series Developer Reference
    In OBJECT THINKING, esteemed object technologist David West contends that the mindset makes the programmer—not the tools and techniques. Delving into the history, philosophy, and even politics of object-oriented programming, West reveals how the best programmers rely on analysis and conceptualization—on thinking—rather than formal process and methods. Both provocative and pragmatic, this book ... Read more

    $34.59 USD

  • Database Design and Relational Theory

    Normal Forms and All That Jazz

    by C.J. Date ...
    What makes this book different from others on database design? Many resources on design practice do little to explain the underlying theory, and books on design theory are aimed primarily at theoreticians. In this book, renowned expert Chris Date bridges the gap by introducing design theory in ways practitioners can understand—drawing on lessons learned over four decades of experience to ... Read more

    $28.09 USD

  • Building Machine Learning Systems with Python

    by Willi Richert, Luis Pedro Coelho ...
    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Read more

    $27.89 USD or Free with Kobo Plus

  • Semantic Web for the Working Ontologist

    Effective Modeling in RDFS and OWL

    by Dean Allemang, James Hendler ...
    Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). Organized into 16 chapters, the book provides examples to illustrate the use of Semantic Web technologies in solving common modeling problems. It uses the ... Read more

    $49.49 USD

  • Applied Text Analysis with Python

    Enabling Language-Aware Data Products with Machine Learning

    by Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda ...
    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 through the creative application of text analytics. This ... Read more

    $41.99 USD

  • Database in Depth

    Relational Theory for Practitioners

    by C.J. Date ...
    This book sheds light on the principles behind the relational model, which is fundamental to all database-backed applications--and, consequently, most of the work that goes on in the computing world today. Database in Depth: The Relational Model for Practitioners goes beyond the hype and gets to the heart of how relational databases actually work.Ideal for experienced database developers and ... Read more

    $20.19 USD

  • Text Data Management and Analysis

    A Practical Introduction to Information Retrieval and Text Mining

    by ChengXiang Zhai, Sean Massung ...
    Series series ACM Books
    Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. ... Read more

    $40.99 USD

  • Natural Language Annotation for Machine Learning

    A Guide to Corpus-Building for Applications

    by James Pustejovsky, Amber Stubbs ...
    Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... Read more

    $23.99 USD