Headway 5th Edition, Beginner Student's Book with Online Practice / Soars  

Public ISBD Titre : Headway 5th Edition, Beginner Student's Book with Online Practice Type de document : texte imprimé Auteurs : Soars Editeur : Oxford University Press Année de publication : 2019 Format : 27 cm ISBN/ISSN/EAN : 978-0-19-452392-9 Prix : 54,95 eur Catégories : [Fonds "Labos Langues et IA"] Anglais Mots-clés : Lettres - Langues Index. décimale : V.05 En ligne : http://www.librairiedialogues.fr//ws/notice/9780194523929/unimarc_utf-8 Headway 5th Edition, Beginner Student's Book with Online Practice [texte imprimé] / Soars . - Oxford University Press, 2019 . -  ; 27 cm. ISBN : 978-0-19-452392-9 : 54,95 eur Catégories : [Fonds "Labos Langues et IA"] Anglais Mots-clés : Lettres - Langues Index. décimale : V.05 En ligne : http://www.librairiedialogues.fr//ws/notice/9780194523929/unimarc_utf-8

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Headway 5th Edition Elementary Student's Book with Online Practice  

Public ISBD Titre : Headway 5th Edition Elementary Student's Book with Online Practice Type de document : texte imprimé Editeur : Oxford University Press Année de publication : 2018 Format : 27 cm ISBN/ISSN/EAN : 978-0-19-452423-0 Prix : 54,95 eur Catégories : [Fonds "Labos Langues et IA"] Anglais Mots-clés : Méthodes de langues  Lettres - Langues Index. décimale : V.05 En ligne : http://www.librairiedialogues.fr//ws/notice/9780194524230/unimarc_utf-8 Headway 5th Edition Elementary Student's Book with Online Practice [texte imprimé] . - Oxford University Press, 2018 . -  ; 27 cm. ISBN : 978-0-19-452423-0 : 54,95 eur Catégories : [Fonds "Labos Langues et IA"] Anglais Mots-clés : Méthodes de langues  Lettres - Langues Index. décimale : V.05 En ligne : http://www.librairiedialogues.fr//ws/notice/9780194524230/unimarc_utf-8

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Machine Learning for Signal Processing / Max A. Little 

Public ISBD Titre : Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics Type de document : texte imprimé Auteurs : Max A. Little, Auteur Editeur : Oxford University Press Année de publication : 2019 Importance : 384 pages ISBN/ISSN/EAN : 978-0-19-871493-4 Prix : 97,93 euros Langues : Anglais (eng) Index. décimale : K.10 Web et Programmation Résumé : This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications. Digital signal processing (DSP) is one of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference. DSP and statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of key topics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts and algorithms in this important topic. Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics [texte imprimé] / Max A. Little, Auteur . - Oxford University Press, 2019 . - 384 pages. ISBN : 978-0-19-871493-4 : 97,93 euros Langues : Anglais (eng) Index. décimale : K.10 Web et Programmation Résumé : This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications. Digital signal processing (DSP) is one of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference. DSP and statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of key topics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts and algorithms in this important topic.

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Oxford Advanced Learner's Dictionary / Margaret Deuter 

Public ISBD Titre : Oxford Advanced Learner's Dictionary : of Current English Type de document : texte imprimé Auteurs : Margaret Deuter, Auteur Mention d'édition : 9th edition Editeur : Oxford University Press Année de publication : 2015 Importance : 1820 Pages Format : 6.2 x 2.17 x 9.26 ISBN/ISSN/EAN : 978-0-19-479879-2 Langues : Anglais (eng) Index. décimale : U.10.3 Dictionnaires Anglais (Antonyme, Synonyme…) Oxford Advanced Learner's Dictionary : of Current English [texte imprimé] / Margaret Deuter, Auteur  . -  9th edition . - Oxford University Press, 2015 . - 1820 Pages ; 6.2 x 2.17 x 9.26. ISBN : 978-0-19-479879-2 Langues : Anglais (eng) Index. décimale : U.10.3 Dictionnaires Anglais (Antonyme, Synonyme…)

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The President and Immigration Law / Adam B. Cox

Public ISBD Titre : The President and Immigration Law Type de document : texte imprimé Auteurs : Adam B. Cox, Auteur Editeur : Oxford University Press Année de publication : 2022 Importance : 340 pages ISBN/ISSN/EAN : 978-0-19-763012-9 Langues : Français (fre) Index. décimale : H.10 Sciences politiques Résumé : Who controls American immigration policy? The biggest immigration controversies of the last decade have all involved policies produced by the President--policies such as President Obama's decision to protect Dreamers from deportation and President Trump's proclamation banning immigrants from several majority-Muslim nations. While critics of these policies have been separated by a vast ideological chasm, their broadsides have embodied the same widely shared belief: that Congress, not the President, ought to dictate who may come to the United States and who will be forced to leave. This belief is a myth. In The President and Immigration Law, Adam B. Cox and Cristina M. Rodríguez chronicle the untold story of how, over the course of two centuries, the President became our immigration policymaker-in-chief. Diving deep into the history of American immigration policy--from founding-era disputes over deporting sympathizers with France to contemporary debates about asylum-seekers at the Southern border--they show how migration crises, real or imagined, have empowered presidents. Far more importantly, they also uncover how the Executive's ordinary power to decide when to enforce the law, and against whom, has become an extraordinarily powerful vehicle for making immigration policy. This pathbreaking account helps us understand how the United States has come to run an enormous shadow immigration system-one in which nearly half of all noncitizens in the country are living in violation of the law. It also provides a blueprint for reform, one that accepts rather than laments the role the President plays in shaping the national community, while also outlining strategies to curb the abuse of law enforcement authority in immigration and beyond. The President and Immigration Law [texte imprimé] / Adam B. Cox, Auteur . - Oxford University Press, 2022 . - 340 pages. ISBN : 978-0-19-763012-9 Langues : Français (fre) Index. décimale : H.10 Sciences politiques Résumé : Who controls American immigration policy? The biggest immigration controversies of the last decade have all involved policies produced by the President--policies such as President Obama's decision to protect Dreamers from deportation and President Trump's proclamation banning immigrants from several majority-Muslim nations. While critics of these policies have been separated by a vast ideological chasm, their broadsides have embodied the same widely shared belief: that Congress, not the President, ought to dictate who may come to the United States and who will be forced to leave. This belief is a myth. In The President and Immigration Law, Adam B. Cox and Cristina M. Rodríguez chronicle the untold story of how, over the course of two centuries, the President became our immigration policymaker-in-chief. Diving deep into the history of American immigration policy--from founding-era disputes over deporting sympathizers with France to contemporary debates about asylum-seekers at the Southern border--they show how migration crises, real or imagined, have empowered presidents. Far more importantly, they also uncover how the Executive's ordinary power to decide when to enforce the law, and against whom, has become an extraordinarily powerful vehicle for making immigration policy. This pathbreaking account helps us understand how the United States has come to run an enormous shadow immigration system-one in which nearly half of all noncitizens in the country are living in violation of the law. It also provides a blueprint for reform, one that accepts rather than laments the role the President plays in shaping the national community, while also outlining strategies to curb the abuse of law enforcement authority in immigration and beyond.

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