S Sinduja (44 results)

Taschenbuch. Condition: Neu. Neuware - The journey of this book has shown that debugging in machine learning is far more than a technical afterthought, it is a discipline in itself. Debugging is not simply the process of fixing broken code but the deeper act of uncovering why machine learning models fail, understanding the roots of those failures, and ensuring systems behave reliably in the environments where they operate. Machine learning models are built upon layers of design decisions, data assumptions, and performance trade-offs. By the time a system reaches production, it carries with it both the strengths and the hidden weaknesses of those choices. Debugging is the practice of interrogating those assumptions, shining light on vulnerabilities, and building confidence that the system will perform as intended in the real world.…

Condition: New.

Buch. Condition: Neu. Neuware - The journey of this book has shown that debugging in machine learning is far more than a technical afterthought, it is a discipline in itself. Debugging is not simply the process of fixing broken code but the deeper act of uncovering why machine learning models fail, understanding the roots of those failures, and ensuring systems behave reliably in the environments where they operate. Machine learning models are built upon layers of design decisions, data assumptions, and performance trade-offs. By the time a system reaches production, it carries with it both the strengths and the hidden weaknesses of those choices. Debugging is the practice of interrogating those assumptions, shining light on vulnerabilities, and building confidence that the system will perform as intended in the real world. …

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New.

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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New.

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Softcover/Taschenbuch. Condition: Neu. L'ouvrage ' Les technologies de l'information dans les syst?mes agricoles ' explore le r?le transformateur des technologies de l'information modernes dans la promotion de pratiques agricoles durables et efficaces. Cet ouvrage offre un aper?u complet de la mani?re dont les technologies num?riques telles que l'Internet des objets (IoT), l'intelligence artificielle (IA), l'apprentissage automatique, les syst?mes d'information g?ographique (SIG), les syst?mes de positionnement global (GPS), la t?l?d?tection, le cloud computing, les drones, la robotique et l'analyse des m?gadonn?es r?volutionnent l'agriculture. Sprache: Französisch Gewicht in Gramm: 137.…

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New.

Condition: New.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Softcover/Taschenbuch. Condition: Neu. ?berall auf der Welt werden enorme Datenmengen gesammelt und in Datenbanken gespeichert. Diese Daten werden geb?ndelt und nehmen jedes Jahr zu. Das Extrahieren von Informationen, die in solchen Datenbanken verborgen sind, und das Klassifizieren der extrahierten Informationen sind die wichtigsten Aufgaben beim Data Mining. Wenn solche Datens?tze unausgewogen sind, wird es schwierig, sie zu verarbeiten. Denn die Vorhersage der Zukunft ist eine der grundlegenden Aufgaben im Data Mining. Die Arbeit mit unausgewogenen Datens?tzen zur Vorhersage der m?glichen Ergebnisse ist eine sehr m?hsame Aufgabe. Ein Datensatz ist unausgewogen, wenn er nicht korrekt klassifiziert ist, wenn eine Klasse mehr Instanzen enth?lt als andere. Sie werden oft als positive Klasse (Minderheit) und negative Klasse (Mehrheit) dargestellt. Die Klasse mit der geringeren Anzahl von Stichproben wird als Minderheitsklasse bezeichnet, die mit der h?heren Anzahl als Mehrheitsklasse. Ein unausgewogener Datensatz verursacht viele schwerwiegende Probleme beim Data Mining, da der Standard-Klassifizierungsalgorithmus den Datensatz meist als ausgewogen betrachtet, was wiederum zu einer partiellen Bevorzugung der Mehrheitsklasse f?hrt. Bei Anwendungen wie der medizinischen Diagnose hat dies sehr schwerwiegende Auswirkungen. Daher ist ein ausgeglichener Datensatz f?r viele Echtzeitanwendungen entscheidend. De Gewicht in Gramm: 125.…

Softcover/Taschenbuch. Condition: Neu. 'Tecnolog?a de la informaci?n en los sistemas agr?colas' analiza el papel transformador de la tecnolog?a de la informaci?n moderna en el fomento de pr?cticas agr?colas sostenibles y eficientes. El libro ofrece una visi?n general exhaustiva de c?mo las tecnolog?as digitales, como el Internet de las cosas (IoT), la inteligencia artificial (IA), el aprendizaje autom?tico, los sistemas de informaci?n geogr?fica (SIG), los sistemas de posicionamiento global (GPS), la teledetecci?n, la computaci?n en la nube, los drones, la rob?tica y el an?lisis de macrodatos, est?n revolucionando la agricultura. Sprache: Spanisch Gewicht in Gramm: 137.…

Softcover/Taschenbuch. Condition: Neu. "Informationstechnologie in landwirtschaftlichen Systemen" untersucht die transformative Rolle moderner Informationstechnologie bei der F?rderung nachhaltiger und effizienter landwirtschaftlicher Praktiken. Das Buch bietet einen umfassenden ?berblick dar?ber, wie digitale Technologien wie das Internet der Dinge (IoT), k?nstliche Intelligenz (KI), maschinelles Lernen, Geografische Informationssysteme (GIS), Globale Positionierungssysteme (GPS), Fernerkundung, Cloud Computing, Drohnen, Robotik und Big-Data-Analysen die Landwirtschaft revolutionieren. De Gewicht in Gramm: 137. …

Softcover/Taschenbuch. Condition: Neu. Ksi??ka "Technologie informacyjne w systemach rolniczych" analizuje prze?omow? rol? nowoczesnych technologii informacyjnych w rozwoju zr?wnow?onych i wydajnych praktyk rolniczych. Ksi??ka przedstawia kompleksowy przegl?d tego, w jaki spos?b technologie cyfrowe, takie jak Internet rzeczy (IoT), sztuczna inteligencja (AI), uczenie maszynowe, systemy informacji geograficznej (GIS), globalne systemy pozycjonowania (GPS), teledetekcja, przetwarzanie w chmurze, drony, robotyka oraz analiza du?ych zbior?w danych rewolucjonizuj? rolnictwo. Gewicht in Gramm: 131. …

Softcover/Taschenbuch. Condition: Neu. Il libro "Information Technology in Agricultural Systems" esplora il ruolo trasformativo delle moderne tecnologie dell'informazione nel promuovere pratiche agricole sostenibili ed efficienti. Il libro offre una panoramica completa di come le tecnologie digitali quali l'Internet delle cose (IoT), l'intelligenza artificiale (IA), l'apprendimento automatico, i sistemi informativi geografici (GIS), i sistemi di posizionamento globale (GPS), il telerilevamento, il cloud computing, i droni, la robotica e l'analisi dei big data stiano rivoluzionando l'agricoltura. Sprache: Italienisch Gewicht in Gramm: 131.…

Softcover/Taschenbuch. Condition: Neu. O livro 'Tecnologias da Informa??o nos Sistemas Agr?colas' explora o papel transformador das tecnologias da informa??o modernas no avan?o de pr?ticas agr?colas sustent?veis e eficientes. O livro apresenta uma vis?o geral abrangente de como as tecnologias digitais, tais como a Internet das Coisas (IoT), a Intelig?ncia Artificial (IA), a Aprendizagem Autom?tica, os Sistemas de Informa??o Geogr?fica (SIG), os Sistemas de Posicionamento Global (GPS), a teledete??o, a computa??o em nuvem, os drones, a rob?tica e a an?lise de grandes volumes de dados est?o a revolucionar a agricultura. Gewicht in Gramm: 131.…

Paperback. Condition: new. Paperback. The journey of this book has shown that debugging in machine learning is far more than a technical afterthought, it is a discipline in itself. Debugging is not simply the process of fixing broken code but the deeper act of uncovering why machine learning models fail, understanding the roots of those failures, and ensuring systems behave reliably in the environments where they operate. Machine learning models are built upon layers of design decisions, data assumptions, and performance trade-offs. By the time a system reaches production, it carries with it both the strengths and the hidden weaknesses of those choices. Debugging is the practice of interrogating those assumptions, shining light on vulnerabilities, and building confidence that the system will perform as intended in the real world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: new. Hardcover. The journey of this book has shown that debugging in machine learning is far more than a technical afterthought, it is a discipline in itself. Debugging is not simply the process of fixing broken code but the deeper act of uncovering why machine learning models fail, understanding the roots of those failures, and ensuring systems behave reliably in the environments where they operate. Machine learning models are built upon layers of design decisions, data assumptions, and performance trade-offs. By the time a system reaches production, it carries with it both the strengths and the hidden weaknesses of those choices. Debugging is the practice of interrogating those assumptions, shining light on vulnerabilities, and building confidence that the system will perform as intended in the real world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 108 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information Technology in Agricultural Systems explores the transformative role of modern information technology in advancing sustainable and efficient agricultural practices. The book presents a comprehensive overview of how digital technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning, Geographic Information Systems (GIS), Global Positioning Systems (GPS), remote sensing, cloud computing, drones, robotics, and big data analytics are revolutionizing agriculture.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 80 pp. Französisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information Technology in Agricultural Systems explores the transformative role of modern information technology in advancing sustainable and efficient agricultural practices. The book presents a comprehensive overview of how digital technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning, Geographic Information Systems (GIS), Global Positioning Systems (GPS), remote sensing, cloud computing, drones, robotics, and big data analytics are revolutionizing agriculture.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 108 pp. Englisch.…