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With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source;
Vergelijkbare producten zoals Open Source Software for Statistical Analysis of Big Data
With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source;
Vergelijkbare producten zoals Open Source Software for Statistical Analysis of Big Data
This book constitutes the refereed proceedings of the 14th IFIP WG 2.13 International Conference on Open Source Systems, OSS 2018, held;
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The freeopen source approach has grown from a minor activity to become a significant producer of robust, task-orientated software for a;
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. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;
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. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;
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Das Buch präsentiert die vielfältigen Möglichkeiten von Open Source Software zur Unterstützung von Wissensmanagement. Der Autor erläutert;
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the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining;
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The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free;
Vergelijkbare producten zoals The Essentials of Data Science Knowledge Discovery Using R Chapman HallCRC The R Series
This book constitutes revised selected papers from the workshops collocated with the SEFM 2014 conference on Software Engineering and;
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strategies, data operations, the open-source philosophy, metabolomics, proteomics and statistics/ data mining. In the second section, active;
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regarding open source software to complement its existing policy on open data. In particular, the report reviews existing data and software policies;
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selected from 35 submissions. The papers cover a wide range of topics in the field of free/libre open source software (FLOSS) and are organized;
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Create sound software designs with data structures that use modern object--oriented design patterns! Author Bruno Preiss presents the;
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submissions. They cover topics such as: web semantics and linked (open) data; machine learning and deep learning techniques; semantic information;
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A unique, practical approach to working with collection classes in Java 2 Software developers new to Java will find the practical, software;
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their applications. You should have programming knowledge of Java and a general familiarity with concepts like data caching and clustering.;
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This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held;
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A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;
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applications. Beginning with a tutorial guide to distributed programming in the Java environment, it shows you how building blocks from threads to Jini;
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The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be;
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Fundamentals of OOP and Data Structures in Java is a text for an introductory course on classical data structures. Part One of the book;
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selected from 208 submissions. The papers are organized in topical sections on computational creativity for science and design; knowledge discovery;
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More Java developers want to work with XML, the technology that enables data to be transported intact over the Internet, but they don't;
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. More open source XML tools are written in Java than in any other language. Processing XML with Java fills an immediate need for developers who;
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Get started with Hibernate, an open source Java persistence layer and gain a clear introduction to the current standard for object;
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