• Regeln für den Dokumente-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Allgemeines:

    Nicht erlaubt im Dokumente-Bereich sind:

    - indizierte Titel (inkl. Comics)
    - extremistische Werke, Zeitschriften und Comics (egal, welche Richtung)
    - jegliche Art von Pornographie
    - Anleitungen zu kriminellen Handlungen, gleich welcher Art
    - sadistische, menschenverachtende oder ähnliche Werke

    Nutzt den "Bedanken"-Button, bei Sammelthreads führen jegliche Kommentare, positiv wie negativ, sehr schnell zu einer Unübersichtlichkeit des Threads. Downmeldungen sind an den Uploader zu richten

    Vor dem Einstellen zu beachten:

    - Suchfunktion

    Vergewissert euch, dass es euer Dokument noch nicht im Board gibt, Doppelposts werden kommentarlos gelöscht. Ist es schon vorhanden, tragt es als Mirror im bestehenden Post ein.

    - Threadtitel

    Idealerweise ist sofort zu erkennen um was es sich handelt. Verseht euren Titel mit den relevanten Informationen, das hilft euch und damit auch uns und allen Suchenden erheblich weiter.

    Beispiel: [Thriller] Dan Brown - Inferno oder bei Magazinen:

    Computerbild - 14/2014 (es muss ersichtlich sein, um welche Ausgabe und welches Magazin es sich handelt)

    Folgende Präfixe stehen im Unterforum "Unterhaltung" zur Verfügung:

    [Humor]
    [Drama]
    [Erotik]
    [Fantasy]
    [Krimi]
    [Roman]
    [Thriller]
    [Horror]
    [Science Fiction]

    Inhalt des Beitrags:

    Folgende Pflichtangaben gilt es einzuhalten:

    - Autor
    - Titel
    - Präfix
    - Cover
    - Genre
    - Inhaltsbeschreibung
    - enthaltene Formate
    - Gesamtgröße des Downloads
    - Hoster
    - ggf. Passwort

    Nicht erlaubt sind alle Dateien, die den Download unnötig aufblähen um eine Affiliategrenze zu erreichen, wie zB. mp3-files, übergroße Bilder, etc.

    Ebenso nicht erlaubt sind sämtliche Dateien mit DRM, persönlichen Daten, etc., diese werden kommentarlos zu eurem eigenem Schutz gelöscht.

    Achtet bitte bei der Konvertierung der Formate auf die Lesbarkeit, ein epub, was nur einfach durch Calibre gejagt wird um ein PDF zu erhalten, ist zu 99% eben nicht lesbar. Wenn ihr es nicht könnt, dann lasst es besser oder lest euch ein, wie man es richtig macht.


    Unterforum Comics:

    Threadtitel:

    Ähnlich, wie bei Unterhaltung und Magazinen, sollte der Titel alle relevanten Informationen enthalten, hier bitte

    - den Titel des Comics
    - den Verlag (einige Comics sind in verschiedenen Verlagen erschienen)
    - das Erscheinungsjahr

    Erlaubt sind folgende Formate:

    - CBR
    - CBZ

    Grundsätzlich gilt: jede Version eines Comics erhält einen eigenen Thread, Ersteller eines Comics können ihre Bände gerne mit dem Zusatz (Original-Release) versehen.

    Bei Unsicherheiten zur korrekten Benennung bitte die Informationen von www.comicguide.de nutzen.

    Inhalt des Beitrags:

    Pflichtangaben hier sind:

    - Titel des Bandes und ggf. Nummer
    - Cover
    - falls bekannt technische Daten (DPI, Breite, Speicherqualität)
    - Größe des Downloads
    - Hoster
    - ggf. Passwort
    - falls bekannt Releasenamen
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

++ Premium IPTV ++ 7000 Live Sender ++ UHD Qualität ++ Mediathek mit 18.000 Inhalten ++


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Collection Download Ebooks Best Seller Updated Daily

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Handbook of Global Health, Security and War
English | 2025 | ISBN: 1394326092 | 238 pages | PDF | 6.8 MB
An insightful and contemporary review of current global health threats and their implications for security and stability

In the Handbook of Global Health, Security, and War, Professors Martin Bricknell and Richard Sullivan deliver a fresh, multidisciplinary take on the relationship between health and international affairs. The book explores the most relevant global health threats and their implications for security and stability, providing an up-to-date and authoritative perspective on these international challenges.
This practical guide addresses the unprecedented range of threats to health around the world and their potential to impact the security of populations, states, and the global system. It discusses the academic theories that form the foundations for analysis of global health and international relations. It also examines the impact of insecurity and war on health systems, clinical health services, and the health research and policy agenda.
Readers will also find:
A thorough introduction to global health and the relationships between determinants of health, health systems, and health services
Comprehensive explorations of the three dimensions of human security, state security, and global security and their relationships to health
Practical discussions of the health impacts of war
A summary of international humanitarian law and ethics as constraints on war and human barbarism
Perfect for undergraduate and postgraduate students with an interest in global health and security, the Handbook of Global Health, Security, and War will also benefit social scientists, researchers in global health, and humanitarian practitioners.



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Handbook of Health Services Evaluation: Theories, Methods and Innovative Practices
English | 2025 | ISBN: 303187868X | 596 Pages | PDF (True) | 28 MB
This handbook offers a comprehensive overview of the theories, methods and practices in evaluating health services. Written by international experts and practitioners in the field, it is an essential resource for anyone who plans or conducts evaluations of health care organisations, as well as for those who want to learn more about the strengths and limitations of specific evaluation techniques and methods.




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Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence
English | 2025 | ISBN: 1394302673 | 512 Pages | EPUB (True) | 36 MB
Intelligent automation systems, also called cognitive automation, use automation technologies such as artificial intelligence, business process management, and robotic process automation, to streamline and scale decision-making across organizations. Intelligent automation simplifies processes, frees up resources, improves operational efficiencies, and has a variety of applications. Intelligent automation systems aim to reduce costs by augmenting the workforce and improving productivity and accuracy through consistent processes and approaches, which enhance quality, improve customer experience, and address compliance and regulations with confidence. Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence explores the significant role, current trends, challenges, and potential solutions to existing challenges in the field of intelligent automation systems, making it an invaluable guide for researchers, industry professionals, and students looking to apply these innovative technologies.




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Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence
English | 2025 | ASIN: B0FJYK3MLR | 527 pages | PDF | 22 MB
The book is essential for anyone seeking to understand and leverage the transformative power of intelligent automation technologies, providing crucial insights into current trends, challenges, and effective solutions that can significantly enhance operational efficiency and decision-making within organizations.

Intelligent automation systems, also called cognitive automation, use automation technologies such as artificial intelligence, business process management, and robotic process automation, to streamline and scale decision-making across organizations. Intelligent automation simplifies processes, frees up resources, improves operational efficiencies, and has a variety of applications. Intelligent automation systems aim to reduce costs by augmenting the workforce and improving productivity and accuracy through consistent processes and approaches, which enhance quality, improve customer experience, and address compliance and regulations with confidence. Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence explores the significant role, current trends, challenges, and potential solutions to existing challenges in the field of intelligent automation systems, making it an invaluable guide for researchers, industry professionals, and students looking to apply these innovative technologies.



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Handbook of Politicization and Political Patronage
by B. Guy Peters, Colin Knox
English | 2025 | ISBN: 103532623X | 627 Pages | PDF | 46 MB

This expansive Handbook discusses key conceptual and theoretical issues in politicization and patronage. With contributions from leading academics across the globe, it presents diverse perspectives on politicization and patronage practices, exploring the positive and negative implications of both concepts.
Chapters analyze detailed case studies from a range of countries, regime types and levels of governance, providing critical insights into the variations of politicization and patronage practices and advocating for a clear differentiation between the two terms. Expert authors examine the methodologies involved in the study of these concepts, including prosopography, experimental methods and the difficulties of conducting research within authoritarian regimes. The Handbook emphasizes the recent increase in both patronage and politicization, particularly within democratic regimes, and makes timely suggestions for future research.
This comprehensive Handbook is vital for students and scholars of public administration and management, public policy, political science and regulation and governance. It is also a valuable resource for government officials and public policymakers.




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Mahesh S Raisinghani, "Handbook of Research on Global Information Technology Management in the Digital Economy"
English | 2008 | pages: 589 | ISBN: 1599048752 | PDF | 67,9 mb
Today's enterprises are increasingly going global by becoming more distributed, leveraging resource bases in all parts of the world. Whether through offshore relationships, global support or application development programs, or linking disparate parts of organizations, enterprises are reducing costs by managing applications centrally, boosting security, and assuring network uptime. The Handbook of Research on Global Information Technology Management in the Digital Economy provides comprehensive coverage and definitions of the most important issues, concepts, trends and technologies in the field of the emerging sub-discipline of global information technology management, covering topics such as the technical platform for global IS applications, information systems projects spanning cultures, managing information technology in multidomestic/ international/global/transnational corporations, and global information technology systems and socioeconomic development in developing countries. With 25 authoratative contributions from 34 of the world's leading experts, this publication is a must-have for academic and research libraries.




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Handbook of Sustainable Industrial Wastewater Treatment
by Abdellaoui, Hind

English | 2026 | ISBN: 1032803711 | 211 pages | True PDF EPUB | 31.38 MB

The Handbook of Sustainable Industrial Wastewater Treatment is an indispensable resource for addressing the pressing challenges of wastewater management through innovative and sustainable technologies. This comprehensive guide delves into the intricacies of pollutant classification, the impacts of climate change, and a variety of effective treatment methods, making it a must-have for professionals in the field.
This handbook equips readers with the essential knowledge to maintain efficient water treatment systems while implementing sustainable practices that prioritize environmental protection. It showcases cutting-edge treatment technologies capable of removing over 99% of contaminants, all while minimizing maintenance needs, energy consumption, and chemical usage. By offering eco-friendly solutions that significantly reduce operational costs, this handbook emerges as a vital tool for enhancing wastewater management practices across industries.
In addition to traditional methods, this handbook explores innovative strategies that not only improve water quality but also promote resource conservation, ultimately supporting broader environmental sustainability goals. Tailored specifically for researchers, academicians, and professionals in hydrology, environmental science, agricultural engineering, and water resource management, this handbook also benefits postgraduate and doctoral students engaged in water-related research.





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Handbook of the Chemical Elements by Hermann Sicius
English | October 29, 2024 | ISBN: 3662689200 | 1149 pages | MOBI | 72 Mb
This reference work describes comprehensively, compactly and precisely the history, properties, production and application of all elements of the periodic table. Particular attention is paid to the chemical compounds of the elements, which are also presented extensively. This book contains 23 chapters, each of which includes the elements in the form of subchaptersof the eight main groups,the first and second as well as the fourth to tenth subgroups,the rare earth metals and the third subgroupas well as the actinides.Finally, there is an outlook on the as yet undiscovered elements of the eighth and ninth periods, on alternative, more environmentally friendly drives for motor vehicles such as batteries and fuel cells, as well as on semiconductor technology, i.e. areas that will continue to see increasing research activity in the future. Whenever possible, the author has always maintained the order of chalcogenides, halides, pnictogenides, and other compounds when presenting the chemical compounds of the elements.

The introductory part, which illuminates the history of the respective element, often contains biographies of well-known researchers whose creative periods range from the near past to the Middle Ages. You will not only find portraits of chemists, but also of nuclear physicists, astronomers and medical doctors.



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HANDS ON PROGRAMMING STM32 WITH MATLAB: HAL, Direct Memory Access, GPIO, UART, ADC, DAC, Using Basic and Advance Timer and More
English | June 24, 2023 | ASIN: B0C99PR97X | 236 pages | Epub | 15.63 MB
✔STM 32 is a family of 32 bit microcontroller integrated circuits by ST Microelectronics whereas STM 32 used. These microcontrollers are used in a variety of applications from simple printers to complex circuit boards in vehicles. As a result, the technical know-how of developing firmware and embedded systems using STM 32 microcontrollers are an essential skill set for an engineer in Electronics and Communications.

✔WHY IS STM 32 so popular? Moreover, they are very much suitable for low power application and STM has low power series which consumes the current up to nano amps and deep sleep mode. There are many reasons why STM 32 is better. These days the ATmega series controllers are widely used among hobbyists because of Arduino boards IS STM 32. A microcontroller STM 32 is a family of 32 bit microcontroller integrated circuits by st microelectronics.
✔The STM 32 chips are grouped into related series that are based around the same 32 bit ARM processor core such as the Cortex M 33, F Cortex M seven F Cortex M four F Cortex M three Cortex M zero plus or Cortex M zero. The STM 32 family of microcontrollers as tm 32 MCU is based on arms Cortex M core, and accompanied by a vast selection of development tools and software makes this family of products the ideal choice for small projects up to an entire platform.
✔The STM 32 family is part of STS 10 year product longevity commitment program for microcontrollers. As the leading ARM Cortex M MCU manufacturer, S T microelectronics micro-electronics is your best partner in order to successfully build your business. There are five good reasons to trust and select an STM 32 in your design with the STM 32 MC us as T microelectronics was the first to successfully introduced a general purpose ARM based MCU. Based on this strong presence, the STM 32 portfolio has dramatically expanded embedding all ARM Cortex M core is available. The first vendor of MCU is carrying an ARM Cortex M core, as t microelectronics offers a large portfolio of products covering a majority of customers' needs with more than 700 part numbers.



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Hands-On MLOps on Azure: Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps
English | 2025 | ISBN: 1836200331 | 322 pages | True EPUB | 8.71 MB
A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in production

Key Features

Build reproducible ML pipelines with Azure ML CLI and GitHub Actions
Automate ML workflows end to end, including deployment and monitoring
Apply LLMOps principles to deploy and manage generative AI responsibly across clouds
Book Description

Effective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.
The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using pipelines. You'll implement CI/CD with GitHub Actions and the Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) such as GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You'll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.
Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.
What you will learn

Understand the DevOps to MLOps transition
Build reproducible, reusable pipelines using the Azure ML CLI
Set up CI/CD for training and deployment workflows
Monitor ML applications and detect model/data drift
Capture and secure governance and lineage data
Operationalize LLMs using RAG and prompt flows
Apply MLOps across Azure, AWS, and GCP use cases
Who this book is for

This book is for DevOps and Cloud engineers and SREs interested in or responsible for managing the lifecycle of machine learning models. Professionals who are already familiar with their ML workloads and want to improve their practices, or those who are new to MLOps and want to learn how to effectively manage machine learning models in this environment, will find this book beneficial. The book is also useful for technical decision-makers and project managers looking to understand the process and benefits of MLOps.



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Hands-On MLOps on Azure: Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps by Banibrata De
English | 2025 | ISBN: 1836200331 | 277 pages | True PDF | 8.91 MB
A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in production

Key Features
* Build reproducible ML pipelines with Azure ML CLI and GitHub Actions
* Automate ML workflows end to end, including deployment and monitoring
* Apply LLMOps principles to deploy and manage generative AI responsibly across clouds
Book Description
Effective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.
The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using pipelines. You'll implement CI/CD with GitHub Actions and the Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) such as GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You'll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.
Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.
What you will learn
* Understand the DevOps to MLOps transition
* Build reproducible, reusable pipelines using the Azure ML CLI
* Set up CI/CD for training and deployment workflows
* Monitor ML applications and detect model/data drift
* Capture and secure governance and lineage data
* Operationalize LLMs using RAG and prompt flows
* Apply MLOps across Azure, AWS, and GCP use cases
Who this book is for
This book is for DevOps and Cloud engineers and SREs interested in or responsible for managing the lifecycle of machine learning models. Professionals who are already familiar with their ML workloads and want to improve their practices, or those who are new to MLOps and want to learn how to effectively manage machine learning models in this environment, will find this book beneficial. The book is also useful for technical decision-makers and project managers looking to understand the process and benefits of MLOps.



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Hands-On MLOps on Azure: Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps by Banibrata De
English | August 1st, 2025 | ISBN: 1836200331 | 276 pages | True EPUB (Retail Copy) | 7.07 MB
A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in production

Key Features
* Build reproducible ML pipelines with Azure ML CLI and GitHub Actions
* Automate ML workflows end to end, including deployment and monitoring
* Apply LLMOps principles to deploy and manage generative AI responsibly across clouds
Book Description
Effective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.
The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using pipelines. You'll implement CI/CD with GitHub Actions and the Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) such as GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You'll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.
Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.
What you will learn
* Understand the DevOps to MLOps transition
* Build reproducible, reusable pipelines using the Azure ML CLI
* Set up CI/CD for training and deployment workflows
* Monitor ML applications and detect model/data drift
* Capture and secure governance and lineage data
* Operationalize LLMs using RAG and prompt flows
* Apply MLOps across Azure, AWS, and GCP use cases
Who this book is for
This book is for DevOps and Cloud engineers and SREs interested in or responsible for managing the lifecycle of machine learning models. Professionals who are already familiar with their ML workloads and want to improve their practices, or those who are new to MLOps and want to learn how to effectively manage machine learning models in this environment, will find this book beneficial. The book is also useful for technical decision-makers and project managers looking to understand the process and benefits of MLOps.





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