AI and machine learning for coders / Laurence Moroney

Public ISBD Titre : AI and machine learning for coders : a programmer's guide to artificial intelligence Type de document : texte imprimé Auteurs : Laurence Moroney (199.-....), Auteur Editeur : Beijing : O'Reilly Année de publication : 2021 Importance : 1 vol. (xix-367 p.) Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-4920-7819-7 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.You'll learn:How to build models with TensorFlow using skills that employers desireThe basics of machine learning by working with code samplesHow to implement computer vision, including feature detection in imagesHow to use NLP to tokenize and sequence words and sentencesMethods for embedding models in Android and iOSHow to serve models over the web and in the cloud with TensorFlow Serving. Permalink : ./index.php?lvl=notice_display&id=103936 AI and machine learning for coders : a programmer's guide to artificial intelligence [texte imprimé] / Laurence Moroney (199.-....), Auteur . - Beijing : O'Reilly, 2021 . - 1 vol. (xix-367 p.) : ill. ; 24 cm. ISBN : 978-1-4920-7819-7 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.You'll learn:How to build models with TensorFlow using skills that employers desireThe basics of machine learning by working with code samplesHow to implement computer vision, including feature detection in imagesHow to use NLP to tokenize and sequence words and sentencesMethods for embedding models in Android and iOSHow to serve models over the web and in the cloud with TensorFlow Serving. Permalink : ./index.php?lvl=notice_display&id=103936

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CGI programming with Perl / Scott Guelich

Public ISBD Titre : CGI programming with Perl Type de document : texte imprimé Auteurs : Scott Guelich ; Shishir Gundavaram ; Gunther Birznieks Mention d'édition : 2nd ed. Editeur : Beijing : O'Reilly Année de publication : 2000 Importance : xv, 451 p. Présentation : ill Format : 24 cm ISBN/ISSN/EAN : 978-1-56592-419-2 Index. décimale : 004.43 Langage de programmation Web Résumé : Permalink : ./index.php?lvl=notice_display&id=49852 CGI programming with Perl [texte imprimé] / Scott Guelich ; Shishir Gundavaram ; Gunther Birznieks  . -  2nd ed. . - Beijing : O'Reilly, 2000 . - xv, 451 p. : ill ; 24 cm. ISBN : 978-1-56592-419-2 Index. décimale : 004.43 Langage de programmation Web Résumé : Permalink : ./index.php?lvl=notice_display&id=49852

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DNS on Windows server 2003 / Matt Larson  

Public ISBD Titre : DNS on Windows server 2003 Type de document : texte imprimé Auteurs : Matt Larson ; Cricket Liu ; Robbie Allen Mention d'édition : 3rd ed. Editeur : Beijing : O'Reilly Année de publication : 2004 Importance : xv, 398 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-596-00562-7 Note générale : Includes index. "Mastering the Domain Name System"--Cover. Earlier eds. have titles: DNS on Windows NT, and DNS on Windows 2000. Index. décimale : 004.46 Sécurité Résumé : Includes index. "Mastering the Domain Name System"--Cover. Earlier eds. have titles: DNS on Windows NT, and DNS on Windows 2000. While computers and other devices identify each other on networks or the Internet by using unique addresses made up of numbers, humans rely on the Domain Name System (DNS), the distributed database that allows us to identify machines by name. DNS does the work of translating domain names into numerical IP addresses, routing mail to its proper destination, and many other services, so that users require little or no knowledge of the system. If you're a network or system administrator, however, configuring, implementing, and maintaining DNS zones can be a formidable challenge. And now, with Windows Server 2003, an understanding of the workings of DNS is even more critical. DNS on Windows Server 20003 is a special Windows-oriented edition of the classic DNS and BIND, updated to document the many changes to DNS, large and small, found in Windows Server 2003. Veteran O'Reilly authors, Cricket Liu, Matt Larson, and Robbie Allen explain the whole system in terms of the new Windows Server 2003, from starting and stopping a DNS service to establishing an organization's namespace in the global hierarchy. Besides covering general issues like installing, setting up, and maintaining the server, DNS on Windows Server 2003 tackles the many issues specific to the new Windows environment, including the use of the dnscmd program to manage the Microsoft DNS Server from the command line and development using the WMI DNS provider to manage the name server programmatically. The book also documents new features of the Microsoft DNS Server in Windows Server 2003, including conditional forwarding and zone storage in Active Directory (AD) application partitions. DNS on Windows Server 2003 provides grounding in: Security issues System tuning Caching Zone change notification Troubleshooting Planning for growth If you're a Windows administrator, DNS on Windows Server 2003 is the operations manual you need for working with DNS every day. If you're a Windows user who simply wants to take the mystery out of the Internet, this book is a readable introduction to the Internet's architecture and inner workings. En ligne : http://shop.oreilly.com/product/9780596005627.do Permalink : ./index.php?lvl=notice_display&id=40945 DNS on Windows server 2003 [texte imprimé] / Matt Larson ; Cricket Liu ; Robbie Allen  . -  3rd ed. . - Beijing : O'Reilly, 2004 . - xv, 398 p. : ill. ; 24 cm. ISBN : 978-0-596-00562-7 Includes index. "Mastering the Domain Name System"--Cover. Earlier eds. have titles: DNS on Windows NT, and DNS on Windows 2000. Index. décimale : 004.46 Sécurité Résumé : Includes index. "Mastering the Domain Name System"--Cover. Earlier eds. have titles: DNS on Windows NT, and DNS on Windows 2000. While computers and other devices identify each other on networks or the Internet by using unique addresses made up of numbers, humans rely on the Domain Name System (DNS), the distributed database that allows us to identify machines by name. DNS does the work of translating domain names into numerical IP addresses, routing mail to its proper destination, and many other services, so that users require little or no knowledge of the system. If you're a network or system administrator, however, configuring, implementing, and maintaining DNS zones can be a formidable challenge. And now, with Windows Server 2003, an understanding of the workings of DNS is even more critical. DNS on Windows Server 20003 is a special Windows-oriented edition of the classic DNS and BIND, updated to document the many changes to DNS, large and small, found in Windows Server 2003. Veteran O'Reilly authors, Cricket Liu, Matt Larson, and Robbie Allen explain the whole system in terms of the new Windows Server 2003, from starting and stopping a DNS service to establishing an organization's namespace in the global hierarchy. Besides covering general issues like installing, setting up, and maintaining the server, DNS on Windows Server 2003 tackles the many issues specific to the new Windows environment, including the use of the dnscmd program to manage the Microsoft DNS Server from the command line and development using the WMI DNS provider to manage the name server programmatically. The book also documents new features of the Microsoft DNS Server in Windows Server 2003, including conditional forwarding and zone storage in Active Directory (AD) application partitions. DNS on Windows Server 2003 provides grounding in: Security issues System tuning Caching Zone change notification Troubleshooting Planning for growth If you're a Windows administrator, DNS on Windows Server 2003 is the operations manual you need for working with DNS every day. If you're a Windows user who simply wants to take the mystery out of the Internet, this book is a readable introduction to the Internet's architecture and inner workings. En ligne : http://shop.oreilly.com/product/9780596005627.do Permalink : ./index.php?lvl=notice_display&id=40945

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Hands-on machine learning with Scikit-Learn, Keras and TensorFlow / Aurélien Géron

Public ISBD Titre : Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems Type de document : texte imprimé Auteurs : Aurélien Géron, Auteur Mention d'édition : 2nd edition Editeur : Beijing : O'Reilly Année de publication : 2019 Importance : 1 vol. (XXV-819 p.) Présentation : ill. en coul., couv. ill. en coul. Format : 24 cm ISBN/ISSN/EAN : 978-1-4920-3264-9 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : "Through a series of 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. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. It has been updated to TensorFlow 2 and the latest version of Scikit-Learn. - Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas. - Build and train many neural network architectures for classification and regression using TensorFlow 2 ; - Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more ; - Explore the Keras API, the official high-level API for TensorFlow 2 ; - Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving ; - Deploy on Google Cloud AI Platform or on mobile devices ; - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection ; - Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library. Biographie d'Aur?elien G?eron : Aur?elien G?eron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012." Permalink : ./index.php?lvl=notice_display&id=103937 Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems [texte imprimé] / Aurélien Géron, Auteur  . -  2nd edition . - Beijing : O'Reilly, 2019 . - 1 vol. (XXV-819 p.) : ill. en coul., couv. ill. en coul. ; 24 cm. ISBN : 978-1-4920-3264-9 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : "Through a series of 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. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. It has been updated to TensorFlow 2 and the latest version of Scikit-Learn. - Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas. - Build and train many neural network architectures for classification and regression using TensorFlow 2 ; - Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more ; - Explore the Keras API, the official high-level API for TensorFlow 2 ; - Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving ; - Deploy on Google Cloud AI Platform or on mobile devices ; - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection ; - Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library. Biographie d'Aur?elien G?eron : Aur?elien G?eron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012." Permalink : ./index.php?lvl=notice_display&id=103937

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Perl in a nutshell / Ellen Siever

Public ISBD Titre : Perl in a nutshell : a desktop quick reference Type de document : texte imprimé Auteurs : Ellen Siever ; Nate Patwardhan ; Stephen Spainhour Editeur : Beijing : O'Reilly Année de publication : 1999 Importance : xviii, 654 p. Format : 23 cm. + Accompagnement : 1 computer disk ISBN/ISSN/EAN : 978-1-56592-286-0 Note générale : Includes index. Index. décimale : 004.43 Langage de programmation Web Résumé : Includes index. Permalink : ./index.php?lvl=notice_display&id=41635 Perl in a nutshell : a desktop quick reference [texte imprimé] / Ellen Siever ; Nate Patwardhan ; Stephen Spainhour . - Beijing : O'Reilly, 1999 . - xviii, 654 p. ; 23 cm. + + 1 computer disk. ISBN : 978-1-56592-286-0 Includes index. Index. décimale : 004.43 Langage de programmation Web Résumé : Includes index. Permalink : ./index.php?lvl=notice_display&id=41635

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Programming Perl / Larry Wall

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XML / Robert Eckstein

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