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  • MPI Ethno. Forsch.  (12)
  • Japanese  (12)
  • Tōkyō-to Shinjuku-ku : Orairī Japan  (12)
  • Apprentissage automatique  (6)
  • Cloud computing  (6)
  • 1
    Online Resource
    Online Resource
    Konpyūta bijon no tame no jissen kikai gakushū : moderu ākitekucha kara MLOps made = Practical machine learning for computer vision : end-to-end machine learning for images (2023)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: コンピュータビジョンのための実践機械学習 : : モデルアーキテクチャからMLOpsまで = Practical machine learning for computer vision : end-to-end machine learning for images /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400386 , 4814400381
    Language: Japanese
    Pages: 1 online resource (520 pages) , illustrations.
    Edition: Shohan.
    Uniform Title: Practical machine learning for computer vision
    DDC: 006.37
    Keywords: Computer vision ; Machine learning ; Vision par ordinateur ; Apprentissage automatique
    Note: In Japanese.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Kikai gakushū shisutemu dezain : jitsūn'yō reberu no apurikēshon o jitsugensuru keizokuteki hanpuku purosesu (2023)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: 機械学習システムデザイン : : 実運用レベルのアプリケーションを実現する継続的反復プロセス /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400409 , 4814400403
    Language: Japanese
    Pages: 1 online resource (408 pages)
    Edition: Shohan.
    Uniform Title: Designing machine learning systems
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence Industrial applications ; System design ; Artificial intelligence Design ; Computational learning theory ; Engineering Data processing ; Apprentissage automatique ; Intelligence artificielle ; Applications industrielles ; Conception de systèmes ; Théorie de l'apprentissage informatique ; Ingénierie ; Informatique
    Abstract: "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references".
    Note: In Japanese.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Shōkai Terraform dai 3-han : infrastructure as code o jitsugensuru (2023)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: 詳解Terraform 第3版 : : infrastructure as codeを実現する /
    Publisher: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400522 , 4814400527
    Language: Japanese
    Pages: 1 online resource (472 pages)
    Edition: Shohan.
    Uniform Title: Terraform: up & running
    DDC: 004.6/068
    Keywords: Computer networks Management ; Computer software Development ; Operating systems (Computers) Software ; Computer network architectures ; Cloud computing
    Abstract: "Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on third edition, expanded and thoroughly updated for version 1.0 and beyond, shows you the fastest way to get up and running with Terraform. Gruntwork cofounder Yevgeniy (Jim) Brikman takes you through code examples that demonstrate Terraform's simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers." --
    Note: Includes bibiographical references , In Japanese.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Python de hajimeru ōpun endo na shinkateki arugorizumu : hassangata no kikai gakushū ni yoru tayō na kai no tansaku (2023)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: Pythonではじめるオープンエンドな進化的アルゴリズム : : 発散型の機械学習による多様な解の探索 /
    Publisher: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400003 , 4814400004
    Language: Japanese
    Pages: 1 online resource (296 pages)
    Edition: Shohan.
    DDC: 005.1
    Keywords: Computer algorithms ; Machine learning ; Python (Computer program language) ; Algorithmes ; Apprentissage automatique ; Python (Langage de programmation) ; algorithms
    Note: Includes bibiographical references
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Jissen AWS dēta saiensu : endo tsū endo no MLOps paipurain jissō (2021)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: 実践AWSデータサイエンス : : エンドツーエンドのMLOpsパイプライン実装 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119687 , 4873119685
    Language: Japanese
    Pages: 1 online resource (570 pages)
    Edition: Shohan.
    Uniform Title: Data science on AWS
    DDC: 004.6782
    Keywords: Amazon Web Services (Firm) ; Machine learning ; Cloud computing ; Data mining ; Business Data processing ; Management Data processing ; Amazon Web Services (Firm) ; Business ; Data processing ; Cloud computing ; Data mining ; Machine learning ; Management ; Data processing
    Note: In Japanese.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Kikai gakushū ni yoru jitsuyō apurikēshon kōchiku : jirei o tsūjite manabu, sekkei kara honban kadō made no purosesu (2021)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: 機械学習による実用アプリケーション構築 : : 事例を通じて学ぶ, 設計から本番稼働までのプロセス /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119502 , 4873119502
    Language: Japanese
    Pages: 1 online resource (256 pages)
    Edition: Shohan.
    Uniform Title: Building machine learning powered applications
    DDC: 006.31
    Keywords: Machine learning ; Application software Development ; Apprentissage automatique ; Logiciels d'application ; Développement ; Application software ; Development ; Machine learning ; Electronic books
    Abstract: "Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers--including experienced practitioners and novices alike--will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment." --
    Note: Online resource; title from title details screen (O'Reilly, viewed April 19, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Masutaringu Okuta : IDaaS sekkei to un'yō (2021)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: マスタリングOkta : : IDaaS設計と運用 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119717 , 4873119715
    Language: Japanese
    Pages: 1 online resource (256 pages) , illustrations..
    Edition: Shohan.
    Uniform Title: Okta administration
    DDC: 004.67/82
    Keywords: Cloud computing ; Computer networks Access control
    Note: In Japanese.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Nyūmon kikai gakushū paipurain : TensorFlow de manabu wāku furō no jidōka (2021)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: 入門機械学習パイプライン : : TensorFlowで学ぶワークフローの自動化 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119519 , 4873119510
    Language: Japanese
    Pages: 1 online resource (392 pages)
    Edition: Shohan.
    Uniform Title: Building machine learning pipelines
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Cloud computing ; Business enterprises Data processing
    Note: In Japanese.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Python de hajimeru kyōshi nashi gakushū : kikai gakushū no kanōsei o hirogeru raberu nashi dēta no riyō (2020)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: Pythonではじめる教師なし学習 : : 機械学習の可能性を広げるラベルなしデータの利用 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119106 , 4873119103
    Language: Japanese
    Pages: 1 online resource (344 pages)
    Edition: Shohan.
    Uniform Title: Hands-on unsupervised learning using Python
    DDC: 006.31
    Keywords: Machine learning ; Artificial intelligence ; Python (Computer program language) ; Artificial Intelligence ; Apprentissage automatique ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Artificial intelligence ; Machine learning ; Python (Computer program language) ; Electronic books
    Abstract: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied; this is where unsupervised learning comes in. Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow using Keras. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started.
    Note: Includes bibiographical references and index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Kubernetes de jissensuru kuraudo neitibu DevOps (2020)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: Kubernetesで実践するクラウドネイティブDevOps /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119014 , 4873119014
    Language: Japanese
    Pages: 1 online resource (384 pages)
    Edition: Shohan.
    Uniform Title: Cloud native DevOps with Kubernetes
    DDC: 005.4
    Keywords: Application software Development ; Computer programs ; Application program interfaces (Computer software) ; Cloud computing ; Software maintenance ; Open source software ; Logiciels d'application ; Développement ; Logiciels ; Interfaces de programmation d'applications ; Infonuagique ; Logiciels ; Entretien et réparations ; Logiciels libres ; APIs (interfaces) ; Application program interfaces (Computer software) ; Application software ; Development ; Computer programs ; Cloud computing ; Open source software ; Software maintenance ; Electronic books
    Abstract: "Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do, and what you can do with it. You'll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You'll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications."--
    Note: Online resource; title from title details screen (O’Reilly, viewed April 20, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Scikit-learn, Keras, TensorFlow ni yoru jissen kikai gakushū (2020)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 第 2版.
    Title: Scikit-learn, Keras, TensorFlowによる実践機械学習 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119281 , 4873119286
    Language: Japanese
    Pages: 1 online resource (832 pages)
    Edition: Dai 2-han.
    Uniform Title: Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow
    Parallel Title: Parallele Sprachausgabe Saikittorān to tensorufurō ni yoru jissen kikai gakushū.
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Artificial intelligence ; Python (Computer program language) ; Artificial Intelligence ; Apprentissage automatique ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Artificial intelligence ; Machine learning ; Python (Computer program language) ; Electronic books
    Abstract: "Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlow 2 - the author helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started." --
    Note: Online resource; title from title details screen (O’Reilly, viewed April 20, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Sābāresu shinguru pēji apurikēshon : S3, AWS Lambda, API Gateway, DynamoDB, Cognito de kōchikusuru sukēraburu na web sābisu (2017)
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Details
    Orig.schr. Ausgabe: 初版.
    Title: サーバーレスシングルページアプリケーション : : S3, AWS Lambda, API Gateway, DynamoDB, Cognitoで構築するスケーラブルなWebサービス /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873118062 , 4873118069
    Language: Japanese
    Pages: 1 online resource (204 pages)
    Edition: Shohan.
    Uniform Title: Serverless single page apps
    DDC: 006.76
    Keywords: Amazon Web Services (Firm) ; Web applications Development ; Web applications Programming ; Cloud computing
    Abstract: "You don't need to manage your own servers to build powerful web applications. This book will show you how to create a single page app that runs entirely on web services, scales to millions of users, and costs less per day than a cup of coffee. Using a web browser, a prepared workspace, and your favorite editor, you'll build a complete single page web application, step by step. Learn the fundamental technologies behind modern single page apps, and use web standards to create lean web applications that can take advantage of the newest technologies. Deploy your application quickly using Amazon S3. Use Amazon Cognito to connect with providers like Google and Facebook to manage user identities. Read and write user data directly from the browser using DynamoDB, and build your own scalable custom microservices with Amazon Lambda. Whether you've never built a web application before or you're a seasoned web developer who's just looking for an alternative to complex server-side web frameworks, this book describes a simple approach to building serverless web applications that you can easily apply or adapt for your own projects"--
    Note: Includes bibliographical references (page 195) and index , In Japanese.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
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