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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:
- 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
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Collection Download Ebooks Best Seller Updated Daily
Generalized Linear Models and Extensions
English | 2025 | ISBN: 9819647258 | 264 Pages | PDF | 3 MB
This book presents a wide range of topics to address the needs of several groups of users of rapidly growing methods of generalized linear models. Since the introduction of the idea of generalized linear models (GLM) in early seventies, during the past four decades the modelling of statistical data have experienced a major transformation from linear models based on normality assumption to a more flexible unified approach of generalized linear models. The number of readers and users of generalized linear models have increased manifold. In addition, the use of generalized linear models has expanded in many new fields of applications where statistical models are being employed at an increasing rate. It is important to note here that the learners and users of GLM have a widely varied background in different disciplines. Considering these pressing needs, this book focuses on: (i) upper undergraduate and graduate level students in need of a thorough understanding about the basic concepts of generalized linear models along with appropriate applications; (ii) researchers and users in need of advanced generalized linear models for analysing bivariate or multivariate data stemming from longitudinal or repeated measures data; and (iii) new challenges to analyse big data where the traditional techniques fail to provide any reasonable modelling strategy. In other words, this book starts with a thorough background of the generalized linear models for the new learners, then provides multivariate extensions to advanced level techniques for researchers and users in various disciplines, and finally some innovative modelling strategies are introduced using generalized linear models in the emerging field of big data analytics. It provides materials for new learners, for users/researchers who are in need of more advanced techniques and also strategies for employing linear models in big data analytics. Hence, techniques of generalized linear models will be presented in the proposed book covering the needs of new learners, users of advanced techniques, researchers in need of statistical modelling of any data type and users of big data analytics wanting to increase predictive accuracy of classification and regression tree techniques.
Generative AI for 66% Reduced Interview Setup Time
English | 2025 | ISBN: 9781806119530 | 78 Pages | EPUB | 5 MB
The problem: Geektrust's existing ML-driven code assessment tool, Codu.ai, was limited in functionality and expensive to maintain-hindering scalability and requiring intensive development resources.
The solution: A scalable, context-aware AI Technical Interviewer Agent that automates initial technical interviews, delivering reliable and customizable assessments.
Key results: 90% reduction in infrastructure and operational costs, 66% decrease in interview setup time, 100+ simultaneous interviews conducted with AI, customer satisfaction score (CSAT) of 4.3/5.
Generative AI for 80% Reduction in Work Order Processing Time
English | 2025 | ISBN: 9781806113217 | 83 Pages | EPUB | 5 MB
The problem: Black Dome faced "data chaos" from receiving work orders in fragmented formats-PDFs, images, and emails. Manual data entry was inefficient, costly, and error-prone, creating workflow delays and reducing overall productivity.
The solution: Automated ingestion, cleaning, and structuring of unstructured data, integrating seamlessly into Black Dome's existing systems, with a natural language chatbot interface.
Key results: 80% cost savings through internal automation, processing times for work orders reduced from 30-40 minutes per order to a simple document upload, improved data accuracy and reliability of work order instructions, simplified employee experience, shifting focus to higher-value tasks.
Generative AI for 90% More Efficient RFP Planning and Generation
English | 2025 | ISBN: 9781806115457 | 52 Pages | EPUB | 3.4 MB
The problem: Government RFP and RFI workflows are burdened by manual processes, long timelines, and compliance complexity, demanding extensive labor to process solicitation data and generate compliant proposals.
The solution: The Awarded AI platform by Procurement Sciences uses multi-agent orchestration, retrieval-augmented generation, and domain-specific AI assistants to automate solicitation analysis, accelerate proposal generation, and ensure compliance.
Key results: 90% increase in efficiency across proposal planning and generation, full RFP packages generated in as little as 15 minutes (previously up to 6 months), $6,400 or 112 hours saved per proposal, proven ability to handle legacy data formats for long-standing enterprise clients.
Generative AI for Business
English | 2025 | ISBN: 9798341622388 | 44 Pages | EPUB | 3.4 MB
Technologists and business leaders alike will explore the fundamental capabilities of generative AI, high-impact use cases, key risks and challenges, technical integration considerations, and how to start building the necessary teams and culture for AI-enabled innovation. Whether you're just starting to explore this transformative technology or looking to scale its impact, you'll learn concrete strategies for harnessing the power of generative AI to create measurable value for your business.
Generative AI for Core Product Evolution in Recruitment
English | 2025 | ISBN: 9781806112951 | 52 Pages | EPUB | 3 MB
The problem: A scalability crisis in technical hiring. The rise of generative AI, particularly ChatGPT, signaled a fundamental shift in how hiring and assessments would evolve.
The solution: Geektrust reimagined its core product, pivoting from a traditional ML system for automating structured code assessments to an AI Technical Interviewer Agent that automates the most resource-intensive stage of hiring.
Key results: 66% reduction in interview scheduling time, 70% decrease in tech teams' interview time, 90% cost savings on infrastructure and operations, multiple fully paying and late-stage pilots under contracting discussions with billion-dollar enterprises, CSAT of 4.3/5.
Generative Deep Learning, 2a edizione
Italiano | 2023 | ISBN: 9798341643543 | 532 Pages | EPUB | 31 MB
L'intelligenza artificiale generativa è l'argomento più caldo nel mondo della tecnologia. Questo libro pratico insegna agli ingegneri di machine learning e ai data scientist come usare TensorFlow e Keras per creare da zero modelli di deep learning generativi davvero impressionanti, tra cui autoencoder variazionali (VAE), reti generative avversarie (GAN), trasformatori, flussi normalizzanti, modelli basati sull'energia e modelli di diffusione con denoising.
Generative Intelligence in Healthcare: Transforming Patient Care with AI Creativity
English | 2025 | ISBN: 1032887400 | 398 Pages | PDF EPUB (True) | 21 MB
This book explores the intersection of artificial intelligence and healthcare with a focus on generative intelligence. The book will introduce the concept of generative intelligence and its transformative potential in patient care, showcasing applications that go beyond conventional AI approaches.
Generative KI für Unternehmen
Deutsch | 2025 | ISBN: 9798341649354 | 50 Pages | EPUB | 4 MB
Generative KI verändert Branchen und schafft einen Wert, den manche auf Billionen schätzen. Aber es kann echt schwierig sein, den Hype zu durchschauen und fundierte Entscheidungen für dein Unternehmen zu treffen. Dieser praktische, von Experten erstellte Bericht von IBM bietet dir einen Fahrplan, der dir dabei hilft, generative KI für konkrete geschäftliche Vorteile zu nutzen.
Genome and Epigenome Editing for Stress-Tolerant Crops
English | 2025 | ISBN: 1394280017 | 345 Pages | PDF , EPUB (True) | 14 MB
With mounting challenges from climate change, expanding populations, and resource limitations, the need for resilient and sustainable agricultural systems has never been greater. Genome and Epigenome Editing for Stress-Tolerant Crops summarizes advanced techniques for creating crops that can withstand both biotic and abiotic stressors. Edited by renowned biologist Jen-Tsung Chen, this authoritative volume discusses the coordination of CRISPR/Cas technology with ncRNA-based epigenetics to enhance stress tolerance and improve crop quality.
Geodiversity of Samoa: An Untapped and Unique Geoheritage Hot Spot in the Southwestern Pacific
English | 2025 | ISBN: 3031872193 | 185 Pages | PDF (True) | 94 MB
This book represents a pioneering effort, offering a comprehensive summary of the Geoheritage of the Southwestern Pacific (SW Pacific). Despite its globally significant Geoheritage , the region has not yet been addressed in its entirety within a cohesive geocultural context, either in book form or through similar media. The SW Pacific is still emerging as a focal point of Geoheritage research, and exploration of the vast geodiversity of this region has only recently begun. While some initial scientific reports exist for specific areas within the SW Pacific, there has been no comprehensive summary covering the entire region. Although the region is primarily renowned for its picturesque beaches and tranquil coastal landscapes, its rich Geocultural aspects remain largely underutilized and understudied.
Geomechanics of Coal Seams
English | 2025 | ISBN: 1789452015 | 290 Pages | PDF , EPUB (True) | 68 MB
Geomechanics of Coal Seams explores the evolving role of coal, transitioning from a historically criticized energy source tied to the Industrial Revolution, to a material with the potential to play a significant role in achieving net-zero greenhouse gas emissions. Traditionally used as raw material, coal now serves as a reservoir for natural gas or carbon dioxide storage, offering a path toward reducing global greenhouse gas emissions. Despite its promise, challenges remain, particularly regarding its geomechanical behavior.
