Front Office, 2nd Edition / P. Abbott

Public ISBD Titre : Front Office, 2nd Edition Type de document : texte imprimé Auteurs : P. Abbott ; S. Lewry ; Safari Mention d'édition : 2nd edition Importance : 211 p. Langues : Anglais (eng) Catégories : 6 Politique, droit et économie Index. décimale : 658 Gestion des entreprises privées et publiques Résumé : Designed for all students of hospitality and tourism management, the second edition of this best selling text gives a modern approach to front office operations and management using realistic scenarios set in the hotel environment Key features of this essential text: · user-friendly style of writing and accessible page layout enables students to use it as a reference book as well as a textbook · updated in the light of recent developments such as global distribution systems and the internet · greater focus on increasing yield and expansion of vital management aspects such as staffing and equipment · additional extended, practical exercise material. Front Office reflects the importance of different features of the receptionist's work and is divided into four main sections: · Procedural aspects · Dealing with people · Increasing yield · Management aspects Front Office is ideal for GNVQ/ BTEC students, those taking the professional exams of the HCIMA, and for undergraduates and postgraduates studying hospitality and tourism management and all relevant executive courses. Front Office, 2nd Edition [texte imprimé] / P. Abbott ; S. Lewry ; Safari  . -  2nd edition . - [s.d.] . - 211 p. Langues : Anglais (eng) Catégories : 6 Politique, droit et économie Index. décimale : 658 Gestion des entreprises privées et publiques Résumé : Designed for all students of hospitality and tourism management, the second edition of this best selling text gives a modern approach to front office operations and management using realistic scenarios set in the hotel environment Key features of this essential text: · user-friendly style of writing and accessible page layout enables students to use it as a reference book as well as a textbook · updated in the light of recent developments such as global distribution systems and the internet · greater focus on increasing yield and expansion of vital management aspects such as staffing and equipment · additional extended, practical exercise material. Front Office reflects the importance of different features of the receptionist's work and is divided into four main sections: · Procedural aspects · Dealing with people · Increasing yield · Management aspects Front Office is ideal for GNVQ/ BTEC students, those taking the professional exams of the HCIMA, and for undergraduates and postgraduates studying hospitality and tourism management and all relevant executive courses.

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Mastering Algorithms with Perl / Jarkko Hietaniemi

Public ISBD Titre : Mastering Algorithms with Perl Type de document : texte imprimé Auteurs : Jarkko Hietaniemi ; Jon Orwant ; John Macdonald ; Safari Mention d'édition : 1st edition Importance : 701 p. Langues : Anglais (eng) Résumé : Many programmers would love to use Perl for projects that involve heavy lifting, but miss the many traditional algorithms that textbooks teach for other languages. Computer scientists have identified many techniques that a wide range of programs need, such as: Fuzzy pattern matching for text (identify misspellings!) Finding correlations in data Game-playing algorithms Predicting phenomena such as Web traffic Polynomial and spline fitting Using algorithms explained in this book, you too can carry out traditional programming tasks in a high-powered, efficient, easy-to-maintain manner with Perl.This book assumes a basic understanding of Perl syntax and functions, but not necessarily any background in computer science. The authors explain in a readable fashion the reasons for using various classic programming techniques, the kind of applications that use them, and -- most important -- how to code these algorithms in Perl.If you are an amateur programmer, this book will fill you in on the essential algorithms you need to solve problems like an expert. If you have already learned algorithms in other languages, you will be surprised at how much different (and often easier) it is to implement them in Perl. And yes, the book even has the obligatory fractal display program.There have been dozens of books on programming algorithms, some of them excellent, but never before has there been one that uses Perl. The authors include the editor of The Perl Journal and master librarian of CPAN; all are contributors to CPAN and have archived much of the code in this book there. "This book was so exciting I lost sleep reading it." Tom Christiansen Mastering Algorithms with Perl [texte imprimé] / Jarkko Hietaniemi ; Jon Orwant ; John Macdonald ; Safari  . -  1st edition . - [s.d.] . - 701 p. Langues : Anglais (eng) Résumé : Many programmers would love to use Perl for projects that involve heavy lifting, but miss the many traditional algorithms that textbooks teach for other languages. Computer scientists have identified many techniques that a wide range of programs need, such as: Fuzzy pattern matching for text (identify misspellings!) Finding correlations in data Game-playing algorithms Predicting phenomena such as Web traffic Polynomial and spline fitting Using algorithms explained in this book, you too can carry out traditional programming tasks in a high-powered, efficient, easy-to-maintain manner with Perl.This book assumes a basic understanding of Perl syntax and functions, but not necessarily any background in computer science. The authors explain in a readable fashion the reasons for using various classic programming techniques, the kind of applications that use them, and -- most important -- how to code these algorithms in Perl.If you are an amateur programmer, this book will fill you in on the essential algorithms you need to solve problems like an expert. If you have already learned algorithms in other languages, you will be surprised at how much different (and often easier) it is to implement them in Perl. And yes, the book even has the obligatory fractal display program.There have been dozens of books on programming algorithms, some of them excellent, but never before has there been one that uses Perl. The authors include the editor of The Perl Journal and master librarian of CPAN; all are contributors to CPAN and have archived much of the code in this book there. "This book was so exciting I lost sleep reading it." Tom Christiansen

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Nine Algorithms That Changed the Future / John MacCormick

Public ISBD Titre : Nine Algorithms That Changed the Future Type de document : texte imprimé Auteurs : John MacCormick ; Chris Bishop ; Safari Mention d'édition : 1st edition Importance : 232 p. Note générale : Notice sommaire chargée pour fin de repérage Langues : Anglais (eng) Catégories : 5 Information et communication:5.05 Sciences de l'information:Informatique Index. décimale : 006.3 Intelligence artificielle Résumé : Notice sommaire chargée pour fin de repérage Nine Algorithms That Changed the Future [texte imprimé] / John MacCormick ; Chris Bishop ; Safari  . -  1st edition . - [s.d.] . - 232 p. Notice sommaire chargée pour fin de repérage Langues : Anglais (eng) Catégories : 5 Information et communication:5.05 Sciences de l'information:Informatique Index. décimale : 006.3 Intelligence artificielle Résumé : Notice sommaire chargée pour fin de repérage

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Python Machine Learning / Sebastian Raschka

Public ISBD Titre : Python Machine Learning : Perform Python Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow Type de document : texte imprimé Auteurs : Sebastian Raschka ; Vahid Mirjalili ; Safari Mention d'édition : 2nd edition Importance : 622 p. Langues : Anglais (eng) Catégories : 5 Information et communication:5.05 Sciences de l'information:Informatique Index. décimale : 607.1 Enseignement et étude de la technologie Résumé : Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from s... Python Machine Learning : Perform Python Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow [texte imprimé] / Sebastian Raschka ; Vahid Mirjalili ; Safari  . -  2nd edition . - [s.d.] . - 622 p. Langues : Anglais (eng) Catégories : 5 Information et communication:5.05 Sciences de l'information:Informatique Index. décimale : 607.1 Enseignement et étude de la technologie Résumé : Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn Understand the key frameworks in data science, machine learning, and deep learning Harness the power of the latest Python open source libraries in machine learning Explore machine learning techniques using challenging real-world data Master deep neural network implementation using the TensorFlow library Learn the mechanics of classification algorithms to implement the best tool for the job Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from s...

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The Mathematical Mechanic / Mark Levi

Public ISBD Titre : The Mathematical Mechanic Type de document : texte imprimé Auteurs : Mark Levi, Auteur ; Safari Mention d'édition : 1st edition Editeur : [Princeton, N. J.] : Princeton Univ. Press Année de publication : 2009 Importance : 200 p. Présentation : couv en n&b ill Format : 24cm ISBN/ISSN/EAN : 978-0-691-14020-9 Prix : $19.95 Langues : Anglais (eng) Mots-clés : Mathematics  Pythagorean theorem  Minima and Maxima Index. décimale : 580.968 9 Études biographiques, géographiques, historiques en relation avec la botanique (histoire de la botanique) de la Zambie Résumé : The Mathematical Mechanic [texte imprimé] / Mark Levi, Auteur ; Safari  . -  1st edition . - [Princeton, N. J.] : Princeton Univ. Press, 2009 . - 200 p. : couv en n&b ill ; 24cm. ISBN : 978-0-691-14020-9 : $19.95 Langues : Anglais (eng) Mots-clés : Mathematics  Pythagorean theorem  Minima and Maxima Index. décimale : 580.968 9 Études biographiques, géographiques, historiques en relation avec la botanique (histoire de la botanique) de la Zambie Résumé :

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