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  • 1
    Orig.schr. Ausgabe: 初版.
    Title: ディープラーニング実践ガイド : : クラウド, モバイル, ブラウザ, エッジデバイス向けAIアプリ開発入門 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784814400287 , 4814400284
    Language: Japanese
    Pages: 1 online resource (616 pages)
    Edition: Shohan.
    Uniform Title: Practical deep learning for cloud, mobile, and edge
    DDC: 005.3
    Keywords: TensorFlow ; Application software Development ; Artificial intelligence ; Deep learning (Machine learning) ; Python (Computer program language) ; Shinsō gakushū
    Note: In Japanese.
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  • 2
    Orig.schr. Ausgabe: 初版.
    Title: 動かして学ぶAI・機械学習の基礎 : : TensorFlowによるコンピュータビジョン, 自然言語処理, 時系列データの予測とデプロイ /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119809 , 4873119804
    Language: Japanese
    Pages: 1 online resource (384 pages)
    Edition: Shohan.
    Uniform Title: AI and machine learning for coders
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence
    Note: In Japanese.
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  • 3
    Orig.schr. Ausgabe: 初版.
    Title: AI技術を活かすためのスキル : : データをビジネスの意思決定に繫げるために /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119557 , 4873119553
    Language: Japanese
    Pages: 1 online resource (272 pages)
    Edition: Shohan.
    Uniform Title: Analytical skills for AI and data science
    DDC: 658/.0563
    Keywords: Business Data processing ; Artificial intelligence ; Artificial intelligence ; Business ; Data processing
    Note: Includes bibiographical references , In Japanese.
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  • 4
    Orig.schr. Ausgabe: 初版.
    Title: 人工知能のアーキテクトたち : : AIを築き上げた人々が語るその真実 /
    Publisher: オライリー・ジャパン,
    ISBN: 9784873119120 , 487311912X
    Language: Japanese
    Pages: 1 online resource (680 pages) , illustrations..
    Edition: Shohan.
    Uniform Title: Architects of intelligence
    DDC: 006.3
    Keywords: Artificial intelligence ; Scientists Interviews ; Computer scientists Interviews ; Artificial intelligence ; Computer scientists ; Scientists ; Interviews
    Note: Includes index , In Japanese.
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  • 5
    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)
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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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