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  • MPI Ethno. Forsch.  (20)
  • Online-Ressource  (20)
  • Japanisch  (20)
  • Python (Langage de programmation)  (12)
  • Science and Technology  (8)
Datenlieferant
  • MPI Ethno. Forsch.  (20)
Materialart
  • Online-Ressource  (20)
Erscheinungszeitraum
  • 1
    Online-Ressource
    Online-Ressource
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Orig.schr. Ausgabe: 初版.
    Titel: Raspberry Piクックブック : : 第 4版 /
    Verlag: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400508 , 4814400500
    Sprache: Japanisch
    Seiten: 1 online resource (560 pages) , illustrations.
    Ausgabe: Shohan.
    Serie: Make: projects
    Originaltitel: Raspberry Pi cookbook
    DDC: 004.1675
    Schlagwort(e): Raspberry Pi (Computer) ; Python (Computer program language) ; Application software Development ; Raspberry Pi (Ordinateur) ; Python (Langage de programmation) ; Logiciels d'application ; Développement
    Kurzfassung: "If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 hands-on recipes (complete with code) that show you how to run this tiny low-cost computer with Linux, program it with Python, hook it up to sensors and motors, and use it with the Internet of things (IoT). This new edition includes new chapters on the Raspberry Pi Pico and machine learning with the Raspberry Pi."--
    Anmerkung: In Japanese.
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  • 2
    Online-Ressource
    Online-Ressource
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Orig.schr. Ausgabe: 初版.
    Titel: Python distilled : : プログラミング言語 Pythonのエッセンス /
    Verlag: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400461 , 4814400462
    Sprache: Japanisch
    Seiten: 1 online resource (336 pages)
    Ausgabe: Shohan.
    DDC: 005.13/3
    Schlagwort(e): Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming
    Anmerkung: In Japanese.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Orig.schr. Ausgabe: 初版.
    Titel: Pythonによる地理空間データ分析 : : 例題で学ぶロケーションインテリジェンス /
    Verlag: オライリー・ジャパン,
    ISBN: 9784814400324 , 4814400322
    Sprache: Japanisch
    Seiten: 1 online resource (272 pages)
    Ausgabe: Shohan.
    Originaltitel: Python for geospatial data analysis
    DDC: 910.285
    Schlagwort(e): Geospatial data Computer processing ; Python (Computer program language) ; Données géospatiales ; Informatique ; Python (Langage de programmation)
    Kurzfassung: "Tobler's first law of geography states, "Everything is related to everything else, but near things are more related than distant things." But if you look at Tobler's second law, "Phenomena external to a geographic area of interest affect what goes on inside it," you can see why a geographer and data analyst brings the science of location into data stories and large-scale research projects. With this practical book, geospatial professionals, data scientists, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis."
    Anmerkung: Includes bibiographical references , In Japanese.
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  • 4
    Orig.schr. Ausgabe: 初版.
    Titel: 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 /
    Verlag: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784814400003 , 4814400004
    Sprache: Japanisch
    Seiten: 1 online resource (296 pages)
    Ausgabe: Shohan.
    DDC: 005.1
    Schlagwort(e): Computer algorithms ; Machine learning ; Python (Computer program language) ; Algorithmes ; Apprentissage automatique ; Python (Langage de programmation) ; algorithms
    Anmerkung: Includes bibiographical references
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  • 5
    Orig.schr. Ausgabe: 初版.
    Titel: Pythonではじめるアルゴリズム入門 : : 伝統的なアルゴリズムで学ぶ定石と計算量 /
    Verlag: 東京都新宿区 : 翔泳社
    ISBN: 9784798165615 , 4798165611
    Sprache: Japanisch
    Seiten: 1 online resource (288 pages)
    Ausgabe: Shohan.
    DDC: 005.13
    Schlagwort(e): Computer algorithms ; Python (Computer program language) ; Algorithmes ; Python (Langage de programmation) ; algorithms
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  • 6
    Online-Ressource
    Online-Ressource
    Paris : OECD Publishing
    Sprache: Japanisch
    Seiten: 1 Online-Ressource (32 p.) , 21 x 28cm.
    Paralleltitel: Parallele Sprachausgabe Disinformation and Russia’s war of aggression against Ukraine: Threats and governance responses
    Schlagwort(e): Governance ; Science and Technology ; Ukraine
    Kurzfassung: ロシア政府は、対ウクライナ攻撃に組織的な情報操作と虚偽情報を作戦ツールとして利用している。 ロシア政府と連携した関係者による虚偽情報の拡散と、それに対するウクライナ政府、同盟国政府、国際機関の行動からは、虚偽や誤解を招くコンテンツにどう対抗するかという重要な視点と教訓が得られる。
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 7
    Online-Ressource
    Online-Ressource
    Paris : OECD Publishing
    Titel: COVID-19で科学・技術・イノベーションはどのように変わるか
    Sprache: Japanisch
    Seiten: 1 Online-Ressource (11 p.)
    Serie: Shingata koronauirusu (COVID-19) e no OECD seisaku taiō
    Paralleltitel: Parallele Sprachausgabe Comment la pandémie de COVID-19 va-t-elle remodeler la science, la technologie et l’innovation ?
    Paralleltitel: Parallele Sprachausgabe How will COVID-19 reshape science, technology and innovation?
    Schlagwort(e): Science and Technology
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 8
    Online-Ressource
    Online-Ressource
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Orig.schr. Ausgabe: 第 2版.
    Titel: 入門Python 3 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119328 , 4873119324
    Sprache: Japanisch
    Seiten: 1 online resource (800 pages)
    Ausgabe: Dai 2-han.
    Originaltitel: Introducing Python
    DDC: 005.133
    Schlagwort(e): Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Python (Computer program language) ; Electronic books
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed April 19, 2022)
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  • 9
    Sprache: Japanisch
    Seiten: 1 Online-Ressource (25 p.)
    Serie: 新型コロナウイルス(COVID-19)へのOECD政策対応
    Paralleltitel: Parallele Sprachausgabe Effets positifs potentiels du télétravail sur la productivité à l’ère post-COVID-19 : quelles politiques publiques peuvent aider à leur concrétisation ?
    Paralleltitel: Parallele Sprachausgabe Productivity gains from teleworking in the post COVID-19 era: How can public policies make it happen?
    Schlagwort(e): Science and Technology ; Economics
    Kurzfassung: 新型コロナウィルス(COVID-19)のパンデミックに関わる健康・経済危機とそれに伴うソーシャルディスタンシング措置により、多くの企業は大規模にテレワーク(在宅勤務)を導入せざるをえなくなった。これは、危機の解消後もテレワーク形式の働き方の導入がさらに広がり、生産性その他の指標に様々な影響と不確定な純効果を及ぼす可能性がある。物理的に距離を取る必要がなくなった後も、危機の間に出現した福利向上につながる新しい効率的な働き方を今後も維持し、発展させていくためには、公共政策と社会的パートナー間の協力が欠かせない。テレワークの導入拡大に伴う生産性と福利の向上を最大化するために、政府は、テレワークに対する企業と労働者の物理的能力と管理能力への投資を促し、特に作業空間を縮小しすぎて労働者の働きやすさと長期的イノベーションが阻害されることがないようにすべきである。
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  • 10
    Sprache: Japanisch
    Seiten: 1 Online-Ressource (8 p.)
    Serie: 新型コロナウイルス(COVID-19)へのOECD政策対応
    Paralleltitel: Parallele Sprachausgabe O combate à desinformação sobre COVID-19 em plataformas online
    Paralleltitel: Parallele Sprachausgabe Combattre la désinformation sur le COVID-19 sur les plateformes en ligne
    Paralleltitel: Parallele Sprachausgabe Combatting COVID-19 disinformation on online platforms
    Schlagwort(e): Science and Technology
    Kurzfassung: 新型コロナウイルス感染症(COVID-19)に関する偽情報、誤情報は、インターネット上で急速に広範囲に拡散され、多くの人々に影響を及ぼす可能性がある。本稿では、政府及びプラットフォームがCOVID-19の偽情報と闘うために採るべき4つの主な行動を明らかにしている。1) 独立した事実確認機関の多様性を支援する;2) 技術的解決策を補完するモデレーターを配置する;3) COVID-19の偽情報について透明性レポート(transparency report)を自発的に発行する;4) 利用者のメディア、デジタル、健康に関する理解力を向上させる。
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  • 11
    Orig.schr. Ausgabe: 初版.
    Titel: 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 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119106 , 4873119103
    Sprache: Japanisch
    Seiten: 1 online resource (344 pages)
    Ausgabe: Shohan.
    Originaltitel: Hands-on unsupervised learning using Python
    DDC: 006.31
    Schlagwort(e): 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
    Kurzfassung: 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.
    Anmerkung: Includes bibiographical references and index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022)
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  • 12
    Orig.schr. Ausgabe: 第 2版.
    Titel: データサイエンスのための統計学入門 : : 予測, 分類, 統計モデリング, 統計的機械学習とR/Pythonプログラミング /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119267 , 487311926X
    Sprache: Japanisch
    Seiten: 1 online resource (396 pages)
    Ausgabe: Dai 2-han.
    Originaltitel: Practical statistics for data scientists
    DDC: 001.4/22
    Schlagwort(e): Mathematical analysis Statistical methods ; Quantitative research Statistical methods ; R (Computer program language) ; Python (Computer program language) ; Statistics Data processing ; Analyse mathématique ; Méthodes statistiques ; Recherche quantitative ; Méthodes statistiques ; R (Langage de programmation) ; Python (Langage de programmation) ; Statistique ; Informatique ; Python (Computer program language) ; R (Computer program language) ; Statistics ; Data processing ; Electronic books
    Kurzfassung: "Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning." --
    Anmerkung: Includes bibiographical references (pages 345-349) and index. - Online resource; title from title details screen (O’Reilly, viewed April 20, 2022)
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  • 13
    Orig.schr. Ausgabe: 第 2版.
    Titel: Scikit-learn, Keras, TensorFlowによる実践機械学習 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119281 , 4873119286
    Sprache: Japanisch
    Seiten: 1 online resource (832 pages)
    Ausgabe: Dai 2-han.
    Originaltitel: Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow
    Paralleltitel: Parallele Sprachausgabe Saikittorān to tensorufurō ni yoru jissen kikai gakushū.
    DDC: 006.3/1
    Schlagwort(e): 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
    Kurzfassung: "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." --
    Anmerkung: Online resource; title from title details screen (O’Reilly, viewed April 20, 2022)
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  • 14
    Orig.schr. Ausgabe: 初版.
    Titel: プログラミング・ビットコイン : : ゼロからビットコインをプログラムする方法 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119021 , 4873119022
    Sprache: Japanisch
    Seiten: 1 online resource (344 pages)
    Ausgabe: Shohan.
    Originaltitel: Programming Bitcoin
    DDC: 005.13
    Schlagwort(e): Bitcoin ; Bitcoin Programming ; Cryptocurrencies ; Electronic funds transfers ; Python (Computer program language) ; Application software Development ; Bitcoin ; Bitcoin ; Programmation ; Cryptomonnaie ; Transferts électroniques de fonds ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Bitcoin ; cryptocurrencies ; Application software ; Development ; Bitcoin ; Cryptocurrencies ; Electronic funds transfers ; Python (Computer program language) ; Electronic books
    Kurzfassung: "Dive into Bitcoin technology with this hands-on guide from one of the leading teachers on Bitcoin and Bitcoin programming. Author Jimmy Song shows Python programmers and developers how to program a Bitcoin library from scratch. You'll learn how to work with the basics, including the math, blocks, network, and transactions behind this popular cryptocurrency and its blockchain payment system. By the end of the book, you'll understand how this cryptocurrency works under the hood by coding all the components necessary for a Bitcoin library. Learn how to create transactions, get the data you need from peers, and send transactions over the network. Whether you're exploring Bitcoin applications for your company or considering a new career path, this practical book will get you started."--Provided by publisher.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed April 19, 2022)
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  • 15
    Online-Ressource
    Online-Ressource
    Tōkyō-to Shinjuku-ku : Orairī Japan
    Orig.schr. Ausgabe: 第 2版.
    Titel: ゼロからはじめるデータサイエンス : : Pythonで学ぶ基本と実践 /
    Verlag: オライリー・ジャパン,
    ISBN: 9784873119113 , 4873119111
    Sprache: Japanisch
    Seiten: 1 online resource (456 pages)
    Ausgabe: Dai 2-han.
    Originaltitel: Data science from scratch
    DDC: 006.3/12
    Schlagwort(e): Data mining Statistical methods ; Mathematical statistics ; Database management ; Data structures (Computer science) ; Python (Computer program language) ; Bases de données ; Gestion ; Structures de données (Informatique) ; Python (Langage de programmation) ; Data mining ; Statistical methods ; Data structures (Computer science) ; Database management ; Mathematical statistics ; Python (Computer program language) ; Electronic books
    Kurzfassung: "Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases." --
    Anmerkung: Includes index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022)
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  • 16
    Online-Ressource
    Online-Ressource
    Tokyo : Consumer Affairs Agency ;
    Titel: ピア・プラットフォーム・マーケットに対する信頼 : 消費者調査の結果
    Sprache: Japanisch
    Seiten: 1 Online-Ressource (77 p.)
    Paralleltitel: Parallele Sprachausgabe Trust in peer platform markets: Consumer survey findings
    Schlagwort(e): Science and Technology
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  • 17
    Orig.schr. Ausgabe: 初版.
    Titel: 作って動かすALife : : 実装を通した人工生命モデル理論入門 /
    Verlag: 東京都新宿区 : オライリー・ジャパン
    ISBN: 9784873118475 , 4873118476
    Sprache: Japanisch
    Seiten: 1 online resource (224 pages) , illustrations.
    Ausgabe: Shohan.
    DDC: 570/.1/13
    Schlagwort(e): Biological systems Computer simulation ; Biological systems Simulation methods ; Python (Computer program language) ; Artificial life ; Systèmes biologiques ; Simulation par ordinateur ; Systèmes biologiques ; Méthodes de simulation ; Python (Langage de programmation) ; Vie artificielle
    Anmerkung: Includes bibiographical references
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  • 18
    ISBN: 9789264033078
    Sprache: Japanisch
    Seiten: Online-Ressource (33 p)
    Schlagwort(e): Science and Technology
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  • 19
    ISBN: 9789264032682
    Sprache: Japanisch
    Seiten: Online-Ressource (42 p)
    Schlagwort(e): Science and Technology
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  • 20
    ISBN: 9789264065703
    Sprache: Japanisch
    Seiten: Online-Ressource
    Paralleltitel: Parallelausg. OECD;N Neuvoston suositus ohjeiksi kuluttajansuojasta sähköisessä kaupankäynnissä
    Paralleltitel: Parallelausg. Guidelines for Consumer Protection in the Context of Electronic Commerce
    Paralleltitel: Parallelausg. OECD retningslinjer for forbrukervern ved elektronisk handel
    Paralleltitel: Parallelausg. Guidelines for Consumer Protection in the Context of Electronic Commerce (Polish version)
    Paralleltitel: Parallelausg. Recomendação do conselho relativa às linhas directrizes que regem A protecção dos consumidores no contexto do comércio electrónico
    Paralleltitel: Parallelausg. Guidelines for Consumer Protection in the Context of Electronic Commerce (Slovak version)
    Paralleltitel: Parallelausg. Guidelines for Consumer Protection in the Context of Electronic Commerce (Swedish version)
    Paralleltitel: Parallelausg. Retningslinier for forbrugerbeskyttelse i forbindelse med elektronisk handel
    Paralleltitel: Parallelausg. Leitlinien für den Verbraucherschutz im Zusammenhang mit dem elektronischen Geschäftsverkehrs
    Paralleltitel: Parallelausg. Recomendación del consejo de la ocde relativa a los lineamientos para la protección al consumidor en el contexto del comercio electrónico
    Paralleltitel: Parallelausg. Guidelines for Consumer Protection in the Context of Electronic Commerce (Hungarian version)
    Paralleltitel: Parallelausg. Linee Guida per la tutela dei consumatori nel contesto del Commercio Elettronico
    Paralleltitel: Parallelausg. Guidelines for Consumer Protection in the Context of Electronic Commerce (Korean version)
    Paralleltitel: Parallelausg. Richtlijnen ter bescherming van consumenten in het kader van de Elektronische handel
    Paralleltitel: Parallelausg. OECD:N Neuvoston suositus ohjeiksi kuluttajansuojasta sähköisessä kaupankäynnissä
    Schlagwort(e): Governance ; Science and Technology
    Kurzfassung: The Guidelines for Consumer Protection in the Context of Electronic Commerce are designed to help ensure that consumers are no less protected when shopping on line than they are when they buy from their local store or order from a catalogue. By setting out the core characteristics of effective consumer protection for online business-to-consumer transactions, the Guidelines are intended to help eliminate some of the uncertainties that both consumers and businesses encounter when buying and selling on line. The Guidelines reflect existing legal protections available to consumers in more traditional forms of commerce. Their aim is to encourage: - fair business, advertising and marketing practices; - clear information about an online business’s identity, the goods or services it offers and the terms and conditions of any transaction; - a transparent process for the confirmation of transactions; - secure payment mechanisms; - fair, timely and affordable dispute resolution and redress; - privacy protection; and - consumer and business education.
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