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  • 1
    Online Resource
    Online Resource
    Indianapolis, Ind. : New Riders | Boston, MA :Safari,
    Language: English
    Pages: xxxiii, 539 p. , ill. (some col.) ; , 26 cm
    DDC: 794.8/1526
    Keywords: Computer games ; Design ; Computer games ; Programming ; Computer graphics ; Electronic books ; local
    Abstract: David Freeman brings you the inside scoop on how to apply the Emotioneering™ techniques he's so well known for. These powerful techniques create a breadth and depth of emotion in a game, and induce a player to identify with the role he or she is playing. Mr. Freeman's techniques are so highly sought after because they're the key to mass market success in today's competitive game market. The over 300 distinct Emotioneering techniques in this book include (to name but a few): ways to give emotional depth to an NPC (non-player character), even if the NPC has just one line of dialogue; techniques to bond a player to a game's NPCs; and techniques to transform a game into an intense emotional journey. In a warm and crystal-clear style, Mr. Freeman provides examples which demonstrate exactly how to apply the techniques. He also shows how some of these techniques were utilized in, and contributed greatly to the success of such games as "Grand Theft Auto: Vice City"; "Deus Ex"; and "Thief" I & II, among others. The book is packed with striking art by some of today's top concept artists and illustrators, including an eight-page color section and a four-color, fold-out cover. When you've finished this book, you'll be equipped to apply Mr. Freeman's powerful Emotioneering techniques to artfully create emotion in the games you design, build, or produce.
    Note: Includes index
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  • 2
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Machine learning ; Computer security ; Electronic books ; Electronic books ; local
    Abstract: Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (viewed March 12, 2018)
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  • 3
    Book
    Book
    Philadelphia : Presbyterian and Reformed Publ. Co.
    Language: English
    Pages: 320 S , Ill
    Additional Information: Rezensiert in Winter, Gibson, 1916 - Society of the Future. H. van Riessen 1958
    DDC: 301
    Keywords: Social problems
    Note: mit biogr. Notiz u. Bildn. d. Verf
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Editions First | Boston, MA : Safari
    Language: English , French
    Pages: 1 online resource (384 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: L'apprentissage automatique, un champ d'étude essentiel aux développements de l'Intelligence artificielle - MACHINE LEARNING N°2 DES VENTES FIRST AU 1ER NIV Le sujet le plus chaud du moment L'Intelligence Artificielle (IA), les Big Data et le Machine Learning ont le vent en poupe ces derniers mois. Cette technologie a fait une entrée fracassante dans l'industrie, là ou la cybersécurité a une importance capitale.. Des entreprises de plus en plus nobreuses mettent en oeuvre aujourd'hui l'IA et le Machine Learning au sein de leur sécurité informatique. Ce livre vous propose de découvrir comment mettre en oeuvre le Machine Learning, un champ d'études de l'Intelligence Artificielle, dans le domaine de la cybersécurité.
    Note: Online resource; Title from title page (viewed February 28, 2019) , Mode of access: World Wide Web.
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