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  • 1
    Orig.schr. Ausgabe: 初版.
    Title: データエンジニアリングの基礎 : : データプロジェクトで失敗しないために /
    Publisher: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400652 , 4814400659
    Language: Japanese
    Pages: 1 online resource (416 pages)
    Edition: Shohan.
    Uniform Title: Fundamentals of data engineering
    DDC: 005.74/3
    Keywords: Database design ; Computer architecture ; Database management ; Big data ; Bases de données ; Conception ; Ordinateurs ; Architecture ; Bases de données ; Gestion
    Abstract: "Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape ; Assess data engineering problems using an end-to-end data framework of best practices ; Cut through marketing hype when choosing data technologies, architecture, and processes ; Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle"-- Page 4 of cover.
    Note: Includes bibliographical references , In Japanese.
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  • 2
    Orig.schr. Ausgabe: 初版.
    Title: RustとWebAssemblyによるゲーム開発 : : 安全・高速・プラットフォーム非依存のWebアプリ開発入門 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400393 , 481440039X
    Language: Japanese
    Pages: 1 online resource (368 pages)
    Edition: Shohan.
    Uniform Title: Game development with Rust and WebAssembly
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Application software Development ; Video games Programming
    Note: In Japanese.
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  • 3
    Orig.schr. Ausgabe: 初版.
    Title: 詳解Rustアトミック操作とロック : : 並行処理実装のための低レイヤプログラミング /
    Publisher: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400515 , 4814400519
    Language: Japanese
    Pages: 1 online resource (236 pages)
    Edition: Shohan.
    Uniform Title: Rust atomics and locks
    DDC: 005.133
    Keywords: Rust (Computer program language) ; Computer programming ; Computer multitasking ; Rust (Langage de programmation) ; Programmation (Informatique) ; Fonctionnement multitâche ; computer programming
    Abstract: "The Rust programming language is extremely well suited for concurrency, and its ecosystem has many libraries that include lots of concurrent data structures, locks, and more. But implementing those structures correctly can be very difficult. Even in the most well-used libraries, memory ordering bugs are not uncommon. In this practical book, Mara Bos, leader of the Rust library team, helps Rust programmers of all levels gain a clear understanding of low-level concurrency. You'll learn everything about atomics and memory ordering and how they're combined with basic operating system APIs to build common primitives like mutexes and condition variables. Once you're done, you'll have a firm grasp of how Rust's memory model, the processor, and the role of the operating system all fit together. With this guide, you'll learn: How Rust's type system works exceptionally well for programming concurrency correctly All about mutexes, condition variables, atomics, and memory ordering What happens in practice with atomic operations on Intel and ARM processors How locks are implemented with support from the operating system How to write correct code that includes concurrency, atomics, and locks How to build your own locking and synchronization primitives correctly." --
    Note: Includes bibliographical references , In Japanese.
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  • 4
    Orig.schr. Ausgabe: 第 2版.
    Title: プログラミングRust : : 第2版 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119786 , 4873119782
    Language: Japanese
    Pages: 1 online resource (680 pages)
    Edition: Dai 2-han.
    Uniform Title: Programming Rust
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Computer programming ; Computer programming ; Rust (Computer program language)
    Note: In Japanese.
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  • 5
    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" --
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  • 6
    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)
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