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  • MPI Ethno. Forsch.  (13)
  • Safari, an O’Reilly Media Company.  (13)
  • Computer Science  (13)
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  • MPI Ethno. Forsch.  (13)
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Language
Years
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Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    How Linux Works, 3rd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : No Starch Press | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (464 pages)
    Edition: 3rd edition
    Parallel Title: Erscheint auch als Ward, Brian, 1972 - How Linux works
    DDC: 005.432
    RVK:
    ST 261
    Keywords: Electronic books ; local ; LINUX
    Abstract: Unlike some operating systems, Linux doesn’t try to hide the important bits from you—it gives you full control of your computer. But to truly master Linux, you need to understand its internals, like how the system boots, how networking works, and what the kernel actually does. In this third edition of the bestselling How Linux Works , author Brian Ward peels back the layers of this well-loved operating system to make Linux internals accessible. This edition has been thoroughly updated and expanded with added coverage of Logical Volume Manager (LVM), virtualization, and containers. You'll learn: •How Linux boots, from boot loaders to init (systemd) •How the kernel manages devices, device drivers, and processes •How networking, interfaces, firewalls, and servers work •How development tools work and relate to shared libraries •How to write effective shell scripts You’ll also explore the kernel and examine key system tasks inside user space, including system calls, input and output, and filesystems. With its combination of background, theory, real-world examples, and patient explanations, How Linux Works , 3rd edition will teach you what you need to know to solve pesky problems and take control of your operating system.
    Note: Online resource; Title from title page (viewed April 13, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch (2021)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484253649
    Language: English
    Pages: 1 online resource (316 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Ketkar, Nikhil Deep learning with Python
    RVK:
    RB 10104
    RVK:
    ST 302
    Keywords: Electronic books ; local ; Electronic books ; Deep learning ; Python ; PyTorch
    Abstract: Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group. You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch. What You'll Learn Review machine learning fundamentals such as overfitting, underfitting, and regularization. Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent. Apply in-depth linear algebra with PyTorch Explore PyTorch fundamentals and its building blocks Work with tuning and optimizing models Who This Book Is For Beginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner.
    Note: Online resource; Title from title page (viewed April 9, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Big Data Analytics for Internet of Things (2021)
    [Erscheinungsort nicht ermittelbar] : Wiley | Boston, MA : Safari
    Details
    ISBN: 9781119740759
    Language: English
    Pages: 1 online resource (400 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Big data analytics for Internet of things
    DDC: 005.7
    RVK:
    ST 205
    Keywords: Electronic books ; local ; Big Data ; Datenverarbeitung ; Internet der Dinge
    Abstract: BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.
    Note: Online resource; Title from title page (viewed April 20, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Continuous Architecture in Practice : Software Architecture in the Age of Agility and DevOps (2021)
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Details
    ISBN: 9780136523796
    Language: English
    Pages: 1 online resource (336 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Erder, Murat Continuous architecture in practice
    RVK:
    ST 233
    Keywords: Electronic books ; local
    Abstract: Revamp Your Architectural Practices for New Challenges, Environments, and Stakeholder Expectations "This book recognizes that software architecture is not the merely conceptual domain of disconnected experts but is the . . . give-and-take daily tussle of team members who have to balance trade-offs and competing forces to deliver resilient, high-performing, secure applications. . . . [It] bridges the significant gap between the 'Earth from orbit' view and the pavement-level view of refactoring microservice code." --Kurt Bittner, VP, Enterprise Solutions, Scrum.org Authors Murat Erder, Pierre Pureur, and Eoin Woods have taken their extensive enterprise architecture experience and applied it to the practical aspects of continuous architecture in real-world environments. Continuous Architecture in Practice provides hands-on advice for leveraging continuous architecture in real-world environments and illuminates architecture's changing role in the age of Agile, DevSecOps, and cloud platforms. This guide will help technologists update their architecture practice for new application challenges. As part of the Vaughn Vernon Addison-Wesley Signature Series, this title was hand-selected for the practical, delivery-oriented knowledge that architects and software engineers can quickly apply. It includes in-depth guidance for addressing today's key quality attributes, including cross-cutting concerns such as security, performance, scalability, resilience, data, and innovation. Each key technique is demonstrated through a start-to-finish case study reflecting the authors' deep experience evolving complex software environments. Create sustainable, coherent systems that meet functional requirements and the quality attributes stakeholders care about Understand team-based software architecture and architecture as a "flow of decisions" Reflect varied data technologies and crucial issues of data management, integration, and change Architect for security, including continuous threat modeling and mitigation Use architecture to improve performance in continuous delivery environments Architect for scalability and scale microservices and serverless environments Use architecture to apply emerging technologies more successfully
    Note: Online resource; Title from title page (viewed June 7, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    The Art of Writing Efficient Programs (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208117
    Language: English
    Pages: 1 online resource (464 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Pikus, Fedor G. The art of writing efficient programs
    RVK:
    ST 250
    Keywords: Electronic books
    Abstract: Get to grips with various performance improvement techniques such as concurrency, lock-free programming, atomic operations, parallelism, and memory management Key Features Understand the limitations of modern CPUs and their performance impact Find out how you can avoid writing inefficient code and get the best optimizations from the compiler Learn the tradeoffs and costs of writing high-performance programs Book Description The great free lunch of "performance taking care of itself" is over. Until recently, programs got faster by themselves as CPUs were upgraded, but that doesn't happen anymore. The clock frequency of new processors has almost peaked. New architectures provide small improvements to existing programs, but this only helps slightly. Processors do get larger and more powerful, but most of this new power is consumed by the increased number of processing cores and other "extra" computing units. To write efficient software, you now have to know how to program by making good use of the available computing resources, and this book will teach you how to do that. The book covers all the major aspects of writing efficient programs, such as using CPU resources and memory efficiently, avoiding unnecessary computations, measuring performance, and how to put concurrency and multithreading to good use. You'll also learn about compiler optimizations and how to use the programming language (C++) more efficiently. Finally, you'll understand how design decisions impact performance. By the end of this book, you'll not only have enough knowledge of processors and compilers to write efficient programs, but you'll also be able to understand which techniques to use and what to measure while improving performance. At its core, this book is about learning how to learn. What you will learn Discover how to use the hardware computing resources in your programs effectively Understand the relationship between memory order and memory barriers Familiarize yourself with the performance implications of different data structures and organizations Assess the performance impact of concurrent memory accessed and how to minimize it Discover when to use and when not to use lock-free programming techniques Explore different ways to improve the effectiveness of compiler optimizations Design APIs for concurrent data structures and high-performance data structures to avoid inefficiencies Who this book is for This book is for experienced developers and programmers who work ...
    Note: Online resource; Title from title page (viewed October 22, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    Think Bayes, 2nd Edition (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (300 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Downey, Allen B. Think Bayes
    RVK:
    ST 601
    Keywords: Electronic books ; local
    Abstract: If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start. Use your programming skills to learn and understand Bayesian statistics Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing Get started with simple examples, using coins, dice, and a bowl of cookies Learn computational methods for solving real-world problems
    Note: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
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  • 7
    Online Resource
    Online Resource
    Rust in Action (2021)
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Details
    ISBN: 9781617294556
    Language: English
    Pages: 1 online resource (456 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als McNamara, Tim Rust in action
    DDC: 005.133
    RVK:
    ST 250
    Keywords: Electronic books ; local ; Rust ; Systemprogrammierung ; Parallelverarbeitung
    Abstract: Rust in Action is a hands-on guide to systems programming with Rust. Written for inquisitive programmers, it presents real-world use cases that go far beyond syntax and structure. You’ll explore Rust implementations for file manipulation, networking, and kernel-level programming and discover awesome techniques for parallelism and concurrency. Along the way, you’ll master Rust’s unique borrow checker model for memory management without a garbage collector.
    Note: Online resource; Title from title page (viewed August 4, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Laws of UX : 10 praktische Grundprinzipien für intuitives, menschenzentriertes UX-Design (2020)
    [Erscheinungsort nicht ermittelbar] : dpunkt | Boston, MA : Safari
    Details
    Language: English , German
    Pages: 1 Online-Ressource (xiii, 125 Seiten)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Yablonski, Jon Laws of UX
    RVK:
    ST 278
    Keywords: Electronic books ; local ; Mensch-Maschine-Kommunikation ; Webdesign ; Gebrauchsgrafik ; Benutzerfreundlichkeit ; Verhaltenspsychologie
    Abstract: Jon Yablonski erklärt in diesem Buch, wie UX-Designerinnen Grundprinzipien aus der Psychologie nutzen können, um eine bessere User Experience zu generieren. Anstatt Benutzerinnen zu zwingen, sich an das Design eines Produkts (z. B. App) anzupassen, hilft dieser praktische Leitfaden dabei, das Design danach auszurichten, wie Benutzer*innen sich verhalten und mit digitalen Schnittstellen interagieren, um ihre Nutzung einfacher und angenehmer zu gestalten. Dabei greift der Autor auf bekannte Regeln und Prinzipien aus der psychologischen Forschung zurück und überträgt sie in die UX-Design-Welt. So sprechen wir beispielsweise einer App mit schönem Design mehr Kompetenz zu und verzeihen ihr eher Fehler, oder erwarten von einem Onlineshop, dass der Kaufprozess so funktionieren, wie wir es von anderen Shops gewohnt sind. Außerdem können wir eine große Menge an Informationen besser speichern und verarbeiten, wenn sie in Chunks gegliedert sind, weshalb etwa Texte, die mithilfe von Überschriften und Absätzen gegliedert sind, eine höhere UX generieren als ein langer Fließtext, der die User überfordert. Nachdem der Autor die verschiedenen Prinzipien erklärt und an anschaulichen, einfach nachzuvollziehenden Beispielen demonstriert hat, zeigt er, wie man diese Prinzipien praktisch für die eigene Arbeit und im Team nutzen kann. Zusätzlich geht er auch auf die ethischen Komponenten ein (Beispiele: Endlos-Scrollen, Like-Button).
    Note: Online resource; Title from title page (viewed September 30, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Ontologies with Python : Programming OWL 2.0 Ontologies with Python and Owlready2 (2020)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484265529
    Language: English
    Pages: 1 online resource (353 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Jean-Baptiste, Lamy Ontologies with Python
    RVK:
    ST 250
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and refresher on Python and OWL ontologies. Then, you will dive straight into how to access, create, and modify ontologies in Python. Next, you will move on to an overview of semantic constructs and class properties followed by how to perform automatic reasoning. You will also learn about annotations, multilingual texts, and how to add Python methods to OWL classes and ontologies. Using medical terminologies as well as direct access to RDF triples is also covered. Python is one of the most used programming languages, especially in the biomedical field, and formal ontologies are also widely used. However, there are limited resources for the use of ontologies in Python. Owlready2, downloaded more than 60,000 times, is a response to this problem, and this book is the first one on the topic of using ontologies with Python. What You Will Learn Use Owlready2 to access and modify OWL ontologies in Python Publish ontologies on dynamic websites Perform automatic reasoning in Python Use well-known ontologies, including DBpedia and Gene Ontology, and terminological resources, such as UMLS (Unified Medical Language System) Integrate Python methods in OWL ontologies Who Is This Book For Beginner to experienced readers from biomedical sciences and artificial intelligence fields would find the book useful.
    Note: Online resource; Title from title page (viewed December 17, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Modern C++ Programming Cookbook - Second Edition (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208988
    Language: English
    Pages: 1 online resource (750 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Bancila, Marius Modern C++ programming cookbook
    DDC: 005.133
    RVK:
    ST 250
    Keywords: Electronic books ; local ; C++ ; C++20
    Abstract: A pragmatic recipe book for acquiring a comprehensive understanding of the complexities and core fundamentals of C++ programming Key Features Explore the latest language and library features of C++20 such as modules, coroutines, concepts, and ranges Shed new light on the core concepts in C++ programming, including functions, algorithms, threading, and concurrency, through practical self-contained recipes Leverage C++ features like smart pointers, move semantics, constexpr, and more for increased robustness and performance Book Description C++ has come a long way to be one of the most widely used general-purpose languages that is fast, efficient, and high-performance at its core. The updated second edition of Modern C++ Programming Cookbook addresses the latest features of C++20, such as modules, concepts, coroutines, and the many additions to the standard library, including ranges and text formatting. The book is organized in the form of practical recipes covering a wide range of problems faced by modern developers. The book also delves into the details of all the core concepts in modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others. It goes into the performance aspects of programming in depth, teaching developers how to write fast and lean code with the help of best practices. Furthermore, the book explores useful patterns and delves into the implementation of many idioms, including pimpl, named parameter, and attorney-client, teaching techniques such as avoiding repetition with the factory pattern. There is also a chapter dedicated to unit testing, where you are introduced to three of the most widely used libraries for C++: Boost.Test, Google Test, and Catch2. By the end of the book, you will be able to effectively leverage the features and techniques of C++11/14/17/20 programming to enhance the performance, scalability, and efficiency of your applications. What you will learn Understand the new C++20 language and library features and the problems they solve Become skilled at using the standard support for threading and concurrency for daily tasks Leverage the standard library and work with containers, algorithms, and iterators Solve text searching and replacement problems using regular expressions Work with different types of strings and learn the various aspects of compilation Take advantage of the file sys...
    Note: Online resource; Title from title page (viewed September 11, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Cloud Computing For Dummies, 2nd Edition (2020)
    [Erscheinungsort nicht ermittelbar] : For Dummies | Boston, MA : Safari
    Details
    ISBN: 9781119546658
    Language: English
    Pages: 1 online resource (320 pages)
    Edition: 2nd edition
    Parallel Title: Erscheint auch als Kirsch, Daniel D. Cloud computing
    RVK:
    ST 200
    Keywords: Electronic books ; local ; Cloud Computing ; Virtuelle Maschine ; Computersimulation ; Cloud Computing
    Abstract: Get your head —and your business—into the Cloud Cloud computing is no longer just a clever new toy in the world of IT infrastructure. Despite the nebulous name, it’s become a real and important part of our information architecture—and tech professionals who ignore it or try to skim their way through risk falling behind rapidly. The new edition of Cloud Computing For Dummies gets you up to speed fast, clarifying your Cloud options, showing you where can save you time and money, giving you ways to frame your decisions, and helping you avoid weeks of research. In a friendly, easy-to-follow style, Cloud Computing For Dummies, 2nd Edition demystifies the Cloud’s virtual landscape, breaking up a complex and multi-layered topic into simple explanations that will make the various benefits clear and ultimately guide you toward making the most appropriate choices for your organization. Know the business case for the Cloud Understand hybrid and multi-cloud options Develop your Cloud strategy Get tips on best practices The Cloud is everywhere, and it can deliver amazing benefits to our lives and businesses. Get a much clearer vision of exactly how with Cloud Computing For Dummies —and you’ll begin to see that the sky really is the limit!
    Note: Online resource; Title from title page (viewed August 4, 2020) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    Data Science für Unternehmen - Data Mining und datenanalytisches Denken praktisch anwenden (2017)
    [Erscheinungsort nicht ermittelbar] : mitp Verlag | Boston, MA : Safari
    Details
    ISBN: 9783958455481 , 9783958455474
    Language: English , German
    Pages: 1 online resource (432 pages)
    Edition: 1st edition
    Series Statement: Mitp Business
    Parallel Title: Erscheint auch als Provost, Foster, 1964 - Data Science für Unternehmen
    DDC: 658.403802856312
    RVK:
    QH 232
    RVK:
    QP 345
    RVK:
    ST 610
    RVK:
    ST 530
    RVK:
    QH 500
    Keywords: Data mining ; Big data ; Business Data processing ; Management Data processing ; Electronic books ; local ; Exploration de données (Informatique) ; Données volumineuses ; Gestion ; Informatique ; Management ; Data processing ; Big data ; Business ; Data processing ; Data mining ; Unternehmen ; Datenmanagement ; Data Mining ; Datenanalyse
    Abstract: Die grundlegenden Konzepte der Data Science verstehen, Wissen aus Daten ziehen und für Vorhersagen und Entscheidungen nutzen Die wichtigsten Data-Mining-Verfahren gezielt und gewinnbringend einsetzen Zahlreiche Praxisbeispiele zur Veranschaulichung Die anerkannten Data-Science-Experten Foster Provost und Tom Fawcett stellen in diesem Buch die grundlegenden Konzepte der Data Science vor, die für den effektiven Einsatz im Unternehmen von Bedeutung sind. Sie erläutern das datenanalytische Denken, das erforderlich ist, damit Sie aus Ihren gesammelten Daten nützliches Wissen und geschäftlichen Nutzen ziehen können. Sie erfahren detailliert, welche Methoden der Data Science zu hilfreichen Erkenntnissen führen, so dass auf dieser Grundlage wichtige Entscheidungsfindungen unterstützt werden können. Dieser Leitfaden hilft Ihnen dabei, die vielen zurzeit gebräuchlichen Data-Mining-Verfahren zu verstehen und gezielt und gewinnbringend anzuwenden. Sie lernen u.a., wie Sie: Data Science in Ihrem Unternehmen nutzen und damit Wettbewerbsvorteile erzielen Daten als ein strategisches Gut behandeln, in das investiert werden muss, um echten Nutzen daraus zu ziehen Geschäftliche Aufgaben datenanalytisch angehen und den Data-Mining-Prozess nutzen, um auf effiziente Weise sinnvolle Daten zu sammeln Das Buch beruht auf einem Kurs für Betriebswirtschaftler, den Provost seit rund zehn Jahren an der New York University unterrichtet, und nutzt viele Beispiele aus der Praxis, um die Konzepte zu veranschaulichen. Das Buch richtet sich an Führungskräfte und Projektmanager, die Data-Science-orientierte Projekte managen, an Entwickler, die Data-Science-Lösungen implementieren sowie an alle angehenden Data Scientists und Studenten. Aus dem Inhalt: Datenanalytisches Denken lernen Der Data-Mining-Prozess Überwachtes und unüberwachtes Data Mining Einführung in die Vorhersagemodellbildung: von der Korrelation zur überwachten Segmentierung Anhand der Daten optimale Modellparameter finden mit Verfahren wie lineare und logistische Regression sowie Support Vector Machines Prinzip und Berechnung der Ähnlichkeit Nächste-Nachbarn-Methoden und Clustering Entscheidungsanalyse I: Was ist ein gutes Modell Visualisierung der Leistung von Modellen Evidenz und Wahrscheinlichkeiten Texte repräsentieren und auswerten Entscheidungsanalyse II: Analytisches Engineering Data Science und Geschäftsstrategie
    Note: Online resource; Title from title page (viewed October 27, 2017) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    The Filter Bubble (2011)
    [Erscheinungsort nicht ermittelbar] : Tantor Media, Inc. | Boston, MA : Safari
    Details
    ISBN: 9781452621814
    Language: English
    Pages: 1 online resource (27185 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als Pariser, Eli, 1980 - The filter bubble
    Parallel Title: Erscheint auch als Pariser, Eli, 1980 - The filter bubble
    DDC: 004.678
    RVK:
    AP 18420
    RVK:
    SR 850
    RVK:
    MS 7965
    Keywords: Audiobooks ; Internet ; Internet ; Social aspects ; Invisible Web ; Internet ; Censorship ; Web search engines ; Target marketing ; Selective dissemination of information ; Infomediaries ; Influence ; Online information services industry ; Political activity ; Internet ; Informationsfilterung ; Soziologie ; Filter
    Abstract: In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years-the rise of personalization. In this groundbreaking investigation of the new hidden Web, Pariser uncovers how this growing trend threatens to control how we consume and share information as a society-and reveals what we can do about it. Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Facebook-the primary news source for an increasing number of Americans-prioritizes the links it believes will appeal to you so that if you are a liberal, you can expect to see only progressive links. Even an old-media bastion like The Washington Post devotes the top of its home page to a news feed with the links your Facebook friends are sharing. Behind the scenes, a burgeoning industry of data companies is tracking your personal information to sell to advertisers, from your political leanings to the color you painted your living room to the hiking boots you just browsed on Zappos. In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs-and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas. While we all worry that the Internet is eroding privacy or shrinking our attention spans, Pariser uncovers a more pernicious and far-reaching trend and shows how we can-and must-change course. With vivid detail and remarkable scope, The Filter Bubble reveals how personalization undermines the Internet's original purpose as an open platform for the spread of ideas and could leave us all in an isolated, echoing world.
    Note: Online resource; Title from title page (viewed May 12, 2011) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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