• 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.

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Collection Download Ebooks Best Seller Updated Daily

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AI for Everyday IT
by Chrissy LeMaire and Brandon Abshire

English | 2025 | ISBN: 163343642X | 376 pages | True/Retail EPUB | 19.64 MB

Automate and accelerate your everyday IT tasks with instant solutions!
What if you never had to write another after-incident report, piece of boilerplate code, or a performance review from scratch ever again? Use AI tools like ChatGPT, Claude, Gemini, and Copilot right, and you'll take back hours of your time-and more!AI for Everyday ITreveals how you can automate dozens of your daily IT tasks with generative AI.
InAI for Everyday ITyou'll learn how to:
Write effective prompts for common IT tasksOptimize report generation, document handling, and workplace communicationResolve IT conflicts and crisesAcquire new skills and upgrade your resumeAI for help desk, database administration and systems administrationIncorporate AI into DevOps processes and create AI-powered applicationsSimplify time-consuming people management tasks
In this hands-on guide, automation expertsChrissy LeMaireandBrandon Abshireshow you how AI tools like ChatGPT have made their lives a million times easier, and how they can do the same for you. You'll find proven strategies for using AI to improve help desk support, automate sysadmin and database tasks, aid with DevOps engineering, handle managing IT teams, and dozens more time-saving and quality-improving hacks.
Foreword by Nitya Narasimhan.
About the technology
Have you lost days sifting through logs to find a latency issue? AI can do it in seconds! Need to update your documentation? Mere moments for AI. Are you writing scripts, designing data recovery strategies, and evaluating network designs? AI can handle it all-if you know how to use it.
About the book
AI for Everyday ITshows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning-even writing professional emails when you're too furious to be nice! This instantly-useful guide has time-saving techniques for all IT pros-from devs and DBAs to technical writers and product managers. Each relatable example is fully illustrated with the prompts and problem formulation strategies, along with interesting insights and anecdotes from authorsChrissy LemaireandBrandon Abshire.
What's insideDocument handling and workplace communicationDatabase administration and developmentDevOps engineering and AI powered appsPeople management and career planning
About the reader
Whether you're working in operations, development, management, or security, you'll love these productivity hacks for generative AI. No previous AI experience required.
About the author
Chrissy LeMaireis a dual Microsoft MVP and GitHub Star, the creator of dbatools, and author of the Manning book Learn dbatools in a Month of Lunches.Brandon Abshirehas spent over twenty years in IT, including roles at a leading Fortune 500 semiconductor and telecommunications company and multiple top-ranked US hospital systems.
Table of Contents
Part 1
1 Artificial intelligence in IT
2 Chatbots: Tasks and tips
3 Basic intelligence
4 Prompt engineering and problem formulation
5 Prompts in action
6 Document handling
7 Emails and instant messaging in the workplace
Part 2
8 IT support and service desk
9 Systems administration
10 Database administration and development
Part 3
11 Code assistants and development tools
12 AI in DevOps engineering
13 Building AI-powered applications
Part 4
14...







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AI/ML for Healthcare; Navigating the AI/ML Maze Responsibly, Securely, and Sustainably
by Kapila Monga

English | 2025 | ISBN: 1032594306 | 297 pages | True PDF | 6.1 MB

The advent of Generative AI has democratized access to AI, prompting nearly everyone in healthcare organizations - from frontline workers to business leaders - to ask pressing questions: How can I be better equipped to support AI adoption meaningfully? How do I ensure I ask the right questions? What cautions should I exercise as I think about AI/machine learning (ML) in my business process? This book aims to answer these and other such questions and to empower healthcare professionals, at all levels, by providing them knowledge across various aspects of AI/ML, enabling them (at least in part) to realize positive, lasting business value from AI and ML initiatives. This book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space trying to make a difference, and research (for evolving topics like sustainable AI development and securing AI/ML systems).
This book provides readers with actionable insights to build responsible, secure, and sustainable AI/ML solutions in healthcare and delves into key principles for scaling AI/ML value delivery, including establishing Machine Learning Operations (MLOps) processes and launching citizen data science programs. At its heart, this book features a healthcare-specific case study that bridges the gap between theoretical knowledge and practical application, illustrating all major concepts in a real-world context.
The final chapter of this book offers a forward-looking commentary on the future of healthcare AI/ML. It explores the potential of Generative AI for healthcare and advocates leveraging lessons from past AI/ML implementations to chart a meaningful path for embracing Generative AI. Additionally, this book emphasizes the importance of adopting "reciprocal altruism" to accelerate AI/ML value realization across the healthcare industry and provides practical recommendations toward the same.







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AI with Intention
by Tony Frontier;

English | 2025 | ISBN: 1416633626 | 159 pages | True PDF | 5.18 MB

Make sure your tech initiatives put students first with this robust guide for teachers and school leaders.
With new artificial intelligence tools sweeping into districts and schools, educators must be able to assess the tools' benefits and limitations and determine if and how they might serve students. Teaching and leadership expert Tony Frontier provides the insight and knowledge necessary to use these tools effectively and responsibly.
AI with Intention presents guiding principles and action steps that address both the issues and the opportunities that come with artificial intelligence. School leaders will learn how to cultivate a schoolwide understanding of AI, implement student-centered practices that support academic integrity, and ensure that effective teaching and learning remain the school's top priority. Teachers will learn how to efficiently and effectively use AI tools to help their students engage in the productive struggle necessary for learning. New and evolving technologies can be exciting, but as Frontier points out, how we respond to innovation is more important than the innovation itself. This book is a roadmap for all educators looking to better understand and incorporate AI in ways that support-rather than undermine-effective teaching and learning.







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AI-Enabled Threat Intelligence and Cyber Risk Assessment
by Edited by Edlira Martiri

English | 2025 | ISBN: 1032825197 | 202 pages | True PDF | 5.48 MB

AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, this book highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks.
Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today's most pressing cybersecurity challenges.







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AIoT for Smart Transportation: Transforming the future of mobility
by Meenu Gupta, Rakesh Kumar and Shakeel Ahmed

English | 2025 | ISBN: 1837240965 | 361 pages | True PDF | 14.95 MB

Boost productivity, save time, and make smarter decisions-no tech expertise required! Curious about artificial intelligence (AI) but unsure where to start?Practical AI for Beginnersmakes AI accessible, showing you how to integrate it seamlessly into your daily life.
Here's just a glimpse of what you'll discover inside:
Practical AI for Beginners: AI Basics - Understand key concepts and how AI powers everyday tools.AI in Everyday Life - Learn how AI enhances finance, healthcare, education, and more.Must-Have AI Tools - Explore ChatGPT, virtual assistants, and more.Productivity Hacks - Automate tasks, optimize schedules, and boost efficiency.AI Content Detection - Spot AI-generated images and deepfakes.AI Myths & Ethics - Separate fact from fiction and navigate AI responsibly.Common AI Challenges - Overcome fears, avoid over-reliance, and stay ahead in the AI revolution.Interactive Exercises - Put your knowledge into action with real-world AI tools.
This book is crafted for curious minds-not just tech professionals. It's designed to take the mystery out of AI and help you confidently apply it in ways that make sense for your life. With hands-on exercises and real-world applications, this book empowers you to use AI confidently-whether for work, home, or fun. AI isn't just for experts-it's for you!







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Algorithmic Harm
by Oren Bar-Gill;Cass R. Sunstein;

English | 2025 | ISBN: 0197778194 | 201 pages | True PDF | 5.45 MB

Will algorithms help people or hurt them? What about artificial intelligence in general? If consumers know what they need to know and do not suffer from behavioral biases, algorithms and AI are likely to be helpful. Consumers will be more likely to get what they want and need. But if consumers lack information, algorithms in particular will be able to convince them to make harmful or foolish choices. And if consumers suffer from behavioral biases, such as unrealistic optimism or a focus on the short term, algorithms will be able to produce serious harms. In Algorithmic Harm: Protecting People in the Age of Artificial Intelligence, Oren Bar-Gill and Cass Sunstein consider the harms and benefits of AI and algorithms and catalog the different ways in which algorithms are being or may be used in consumer and other markets. The authors identify the market conditions under which these uses injure consumers and consider policy and regulatory responses that could reduce the risks consumers, investors, workers, and voters face now-and in the future. Democracy and self-government are at risk; there is a great deal that can be done to reduce that risk.







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Applied Machine Learning for Data Science Practitioners
by Vidya Subramanian

English | 2025 | ISBN: 1394155379 | 320 pages | True EPUB | 121.82 MB

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML).
Applied Machine Learning for Data Science Practitionersoffers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case.
Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results.
This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed.
Written by a recognized data science expert,Applied Machine Learning for Data Science Practitionerscovers essential topics, including:
Data Science Fundamentalsthat provide you with an overview of core concepts, laying the foundation for understanding ML.Data Preparationcovers the process of framing ML problems and preparing data and features for modeling.ML Problem Solvingintroduces you to a range of ML algorithms, including Regression, Classification, Ranking, Clustering, Patterns, Time Series, and Anomaly Detection.Model Optimizationexplores frameworks, decision trees, and ensemble methods to enhance performance and guide the selection of the most effective model.ML Ethicsaddresses ethical considerations, including fairness, accountability, transparency, and ethics.Model Deployment and Monitoringfocuses on production deployment, performance monitoring, and adapting to model drift.







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Applied Statistical Methods
by Finch, W. Holmes;

English | 2025 | ISBN: 1032459344 | 374 pages | True EPUB | 6.46 MB

This book is designed to provide students, teachers, and researchers with a text that includes a full range of statistical methods available to address commonly encountered research problems. Many textbooks for introductory, intermediate, and advanced statistics courses focus heavily on parametric methods. However, in practice, the assumptions underlying these methods are frequently not met, therefore calling into question their use. This book addresses this issue by presenting parametric, nonparametric, robust, and Bayesian techniques that are appropriate for research scenarios often encountered in practice and typically found in statistics courses. For each of these major topics, the standard parametric approach is presented, along with the assumptions underlying it and the methods used to assess the viability of these assumptions. Next, a set of alternative techniques for the research scenario is presented and applied to the motivating example that begins each chapter. Each chapter concludes with a summary focused on how researchers should select which method to use when and a summary of the material covered in the chapter. The chapters have motivating examples that serve as an anchor for discussion of the featured methods. The focus of the chapters is intended to be conceptual (as opposed to highly technical) to make the text useful to individuals with a wide array of statistical backgrounds. More technical material is included in each chapter for interested readers and instructors who would like to focus more attention on it. Instructors will be able to use this book as a main text in introductory, intermediate, and some specialized statistics courses such as nonparametric and robust methods. In addition, researchers and data analysts from a wide array of disciplines will be able to use this book as a primary resource in their work.
Key features of this book are as follows:
It presents a full range of statistical options available to researchers for major problems faced in the social and life sciences, health care, and business.
It explains how to evaluate a dataset to determine which statistical approach (e.g., standard parametric, nonparametric, robust, Bayesian) may be optimal.
It features a website containing datasets and computer code.







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Artificial Intelligence and Biological Sciences
by P.V. Mohanan

English | 2025 | ISBN: 1032781203 | 468 pages | True PDF | 65.61 MB

Advancements of AI in medical and biological sciences have opened new ways for drug development. Novel therapeutic molecules and their target action can be easily predicted and can be modified. AI helps in disease detection and diagnosis faster. The breakthrough of AI is made especially in the area of personalized precision medicine, host-pathogen interaction and predictive epidemiology. These approaches could help in faster decision-making with minimal errors that can improve risk analysis, especially disease diagnosis and selecting treatment strategy. In agricultural practices, an exact combination of fertilizers, pesticides, herbicides, soil management, water requirement analysis, yield prediction and overall crop management can be modified by implementing AI interventions. AI could provide a better improvement in agriculture, medical research, pharmaceuticals and bio-based industries for a sustainable life.
The key features of this book are: AI in medical Sciences, biotechnology and drug discovery; Application of AI in Digital Pathology, cytology and bioinformatics; Overview of AI, Machine Learning and Deep Learning; Impact of Artificial Intelligence in Society; Artificial Intelligence in Pharmacovigilance; and Ethics in Artificial Intelligence. The volume aims to comprehensively cover the application of AI in biological sciences. It is a collection of contributions from different authors who have several years of experience in their specific areas. The book will be useful for pharma companies, CROs, product developers, students, researchers, academicians, policymakers and practitioners.







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Artificial Intelligence and Law in the Communication Professions
by Myers, Cayce

English | 2025 | ISBN: 1032730730 | 193 pages | True PDF EPUB | 11.8 MB

This book analyzes the current attempts to regulate artificial intelligence (AI) and its impact on the communication field. Examining existing and proposed laws, policies, and regulations of AI in the U.S. and the European Union, this book analyzes how the technological development of AI will be governed in the next decade and how this will impact the communication industry. Chapters explore the influence of laws on key communication issues including free speech, disinformation, intellectual property, privacy, and discrimination, as well as the AI industry's approach to self-regulation. It shows how communication professionals such as public relations practitioners, advertisers, and journalists will be affected by generative AI content production and how communication will ultimately be shaped by the regulations and laws placed on AI. Providing readers with a working knowledge of the contemporary legal issues surrounding AI and communication, this book will be of interest to scholars and students in the fields of Media and Communication Law, Public Relations, Advertising, and Journalism.







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Artificial Intelligence
by Alan Dix with Janet Finlay

English | 2025 | ISBN: 0367515989 | 429 pages | True PDF EPUB | 78.97 MB

An authoritative and accessible one-stop resource, the first edition of An Introduction to Artificial Intelligence presented one of the first comprehensive examinations of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examined the central computational techniques employed by AI, including knowledge representation, search, reasoning and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modelling. Many of the major philosophical and ethical issues of AI were also introduced. This new edition expands and revises the book throughout, with new material to augment existing chapters, including short case studies, as well as adding new chapters on explainable AI, big data and deep learning, temporal and web-scale data, statistical methods and data wrangling. It expands the book's focus on human-centred AI, covering gender, ethnic and social bias, the need for transparency, intelligent user interfaces, and designing interactions to aid machine learning. With detailed, well-illustrated examples and exercises throughout, this book provides a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. It stands as a core text for all students and computer scientists approaching AI.







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Artificial Intelligence in Action, Real-World Applications and Innovations
by Ahmed Banafa

English | 2025 | ISBN: 8770046204 | 362 pages | True PDF | 22.73 MB

This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning.
The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change.
The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force.
As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks.
This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution.







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