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  • 1
    Online Resource
    Online Resource
    Deep learning dla programistów : budowanie aplikacji AI za pomocą fastai i PyTorch (2021)
    Gliwice : Helion
    Details
    ISBN: 9788328375109 , 8328375109
    Language: Polish
    Pages: 1 online resource (544 pages) , illustrations
    Edition: [First edition].
    Uniform Title: Deep learning for coders with fastai and PyTorch
    DDC: 006.3/12
    Keywords: Data mining ; Natural language processing (Computer science) ; Machine learning ; Python (Computer program language) ; Artificial intelligence
    Abstract: Uczenie głębokie zmienia oblicze wielu branż. Ta rewolucja już się zaczęła, jednak potencjał AI i sieci neuronowych jest znacznie większy. Korzystamy więc dziś z osiągnięć komputerowej analizy obrazu i języka naturalnego, wspierania badań naukowych czy budowania skutecznych strategii biznesowych - wchodzimy do świata, który do niedawna był dostępny głównie dla naukowców. W konsekwencji trudno o źródła wiedzy, które równocześnie byłyby przystępne dla zwykłych programistów i miały wysoką̜ wartość merytoryczną. Problem polega na tym, że bez dogłębnego zrozumienia działania algorytmów uczenia głębokiego trudno tworzyć dobre aplikacje. Oto praktyczny i przystępny przewodnik po koncepcjach uczenia g̜łębokiego, napisany tak, aby ułatwić zrozumienie najnowszych technik w tej dziedzinie bez znajomości wyższej matematyki. Książka daje znakomite podstawy uczenia głębokiego, a następnie stopniowo wprowadza zagadnienia sposobu działania modeli, ich budowy i trenowania. Pokazano w niej również praktyczne techniki przekształcania modeli w działające aplikacje. Znalazło się tu mnóstwo wskazówek ułatwiających poprawianie dokładności, szybkości i niezawodności modeli. Nie zabrakło też informacji o najlepszych sposobach wdrażania od podstaw algorytmów uczenia głębokiego i stosowaniu ich w najnowocześniejszych rozwiązaniach.
    Note: Includes index
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Spotlight on Data : The Power of Deep Learning in the Hands of Domain Experts with Jeremy Howard and Hirokazu Narui (2019)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 58 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: How do you put the power of deep learning into the hands of product managers, business analysts, innovators, educators, and researchers? In this Spotlight on Data , find out how Silicon Valley Innovation Laboratories-a research center established by Japanese electric and electronics equipment company Furukawa Electric-trained a deep learning model to recognize manufacturing defects in fiber optic cables using platform.ai, without writing any code or needing the help of a data scientist. Recorded on August 8, 2019. See the original event page for resources for further learning. Find future live events to attend or watch recordings of other past events . O'Reilly Spotlight explores emerging business and technology topics and ideas through a series of one-hour interactive events. In live conversations, participants share their questions and ideas while hearing the experts' unique perspectives, insights, fears, and predictions for the future. In every edition of Spotlight on Data , you'll learn about, discuss, and debate the tools, techniques, questions, and quandaries in the world of data. You'll discover how successful companies leverage data effectively and how you can follow their lead to transform your organization and prepare for the Next Economy.
    Note: Online resource; Title from title screen (viewed December 5, 2019)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Designing great data products (2012)
    Sebastopol, CA : O'Reilly Media
    Details
    Language: English
    Pages: 1 online resource (iii, 15 p.) , ill.
    Edition: 1st ed.
    Keywords: Programming (Mathematics) ; Online algorithms ; Business forecasting ; Electronic books ; Electronic books ; local
    Abstract: In the past few years, we've seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives. We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.
    Note: "Inside the Drivetrain Approach, a four-step process for building data products"--Cover
    URL: https://learning.oreilly.com/library/view/-/9781449334659/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    O’Reilly Radar : Data & AI (2021)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 52 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: O’Reilly Radar: Data & AI will showcase what’s new, what’s important, and what’s coming in the field. It includes two keynotes and two concurrent three-hour tracks—designed to lay out for tech leaders the issues, tools, and best practices that are critical to an organization at any step of their data and AI journey. You’ll explore everything from prototyping and pipelines to deployment and DevOps to responsible and ethical AI.
    Note: Online resource; Title from title screen (viewed October 14, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Deep Learning for Coders with fastai and PyTorch (2020)
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Details
    Language: English
    Pages: 1 online resource (550 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you’ll learn how to train a model to accomplish a wide range of tasks—including computer vision, natural language processing, tabular data, and generative networks. At the same time, you’ll dig progressively into deep learning theory so that by the end of the book you’ll have a complete understanding of the math behind the library’s functions.
    Note: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    PyTorch to fastai de hajimeru dīpu rāningu : enjinia no tame no AI apurikēshon kaihatsu (2021)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: PyTorchとfastaiではじめるディープラーニング : : エンジニアのためのAIアプリケーション開発 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119427 , 4873119421
    Language: Japanese
    Pages: 1 online resource (584 pages)
    Edition: Shohan.
    Uniform Title: Deep learning for coders with fastai and PyTorch
    DDC: 006.312
    Keywords: Deep learning (Machine learning) ; Data mining ; Natural language processing (Computer science) ; Python (Computer program language) ; Electronic books
    Abstract: "Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions" --
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
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