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Free Download Datenschutz & IT-Sicherheit: So verhindern Sie im Unternehmen kostspielige Datenpannen
Deutsch | 7. Februar 2025 | ASIN: B0DWKDWJTW | 65 Seiten | Epub | 825.61 KB
Schützen Sie Ihr Unternehmen vor Cyberangriffen, Datenverlust und hohen DSGVO-Strafen! Datenlecks, Hackerangriffe und IT-Sicherheitsverstöße können Unternehmen Millionen kosten - sowohl finanziell als auch durch den Verlust von Kundenvertrauen. Dieses Buch bietet praxisnahe Lösungen , um Ihr Unternehmen vor Cyberbedrohungen zu schützen und gesetzliche Anforderungen wie DSGVO, ISO 27001 und NIST 2.0 einzuhalten. Was Sie in diesem Buch lernen: ✅ Wie Sie Hackerangriffe und Datenlecks vermeiden - effektive IT-Sicherheitsstrategien für Unternehmen ✅ Technische Schutzmaßnahmen verständlich erklärt - Firewalls, Verschlüsselung, Zero Trust, Cloud-Sicherheit ✅ Datenschutz-Compliance ohne Risiko - DSGVO, ISO 27001 & BSI IT-Grundschutz richtig umsetzen ✅ Cybersecurity für KMU & Konzerne - maßgeschneiderte Lösungen für jede Unternehmensgröße ✅ Mitarbeiterschulungen & Sicherheitskultur etablieren - der Faktor Mensch als Risiko und Schutzschild ✅ Sichere Softwareentwicklung & DevSecOps - Datenschutz von Anfang an in den Code integrieren ✅ Incident Response & Notfallpläne - So reagieren Sie professionell auf Cyberangriffe Warum dieses Buch? 🔹 Praxisnah & verständlich - ideal für Unternehmer, IT-Manager & Datenschutzbeauftragte 🔹 Keine Werbung oder Kooperationen - alle Tools und Methoden sind neutrale Empfehlungen 🔹 Aktuell & zukunftssicher - berücksichtigt neue Sicherheitsstandards & das EU-KI-Gesetz Für wen ist dieses Buch geeignet? 🔹 Unternehmer & Geschäftsführer , die Datenverluste und IT-Risiken minimieren wollen 🔹 IT-Manager & Security-Experten , die effektive Sicherheitsmaßnahmen umsetzen möchten 🔹 Datenschutzbeauftragte & Compliance-Teams , die gesetzliche Vorgaben sicher einhalten müssen 🔹 Softwareentwickler & DevOps-Teams , die IT-Sicherheit in den Entwicklungsprozess integrieren wollen Sichern Sie sich jetzt Ihr Exemplar und schützen Sie Ihr Unternehmen vor Cyberangriffen und Datenverlust!

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Free Download Date Fruits and By-Products Processing by Salam A. Ibrahim, Zahra H. Mohammad, Faizan Ahmad
English | November 23, 2025 | ISBN: 3032052831 | 338 pages | True ePUB, PDF | 25 Mb
The use of dates in non-traditional food products and their by-products for nutritional supplements has been practiced for centuries in many regions across the globe. Unlike many traditional foods, there has been an influx of new technology and processes in the applications of date fruits, many of which have received sparse coverage in the literature. Date Fruits and By-Products Processing covers off of the latest advances in date-fruits and their byproducts and also opens the door for future research in this field, including the use of non-thermal processing and shelf life extension. This research is especially important due to increasing volumes in date production and increasing consumer and industry awareness of the health benefits of date fruits.

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Free Download Database Design & Modeling for Artificial Intelligence
English | December 23, 2025 | ASIN: B0GC3CHPK4 | 400 pages | Epub | 2.21 MB
This book provides a comprehensive, practical, and modern exploration of designing and modeling databases specifically for Artificial Intelligence applications. It systematically connects the dots between foundational data principles and the sophisticated data requirements of AI, Machine Learning, and Deep Learning systems. Philosophy: The core philosophy of this book is "Application-Driven Learning." I believe that the abstract concepts of database architecture and data modeling become clear and meaningful only when they are tied to a tangible purpose. In this context, that purpose is to build powerful, efficient, and scalable AI systems. We will demystify complex topics by breaking them down into simple, understandable components and immediately illustrating them with real-world AI-centric scenarios, such as building recommendation engines, powering semantic search, or managing data for autonomous vehicles. Key Features: 1. Globally Compatible Curriculum: The content covers topics universally found in advanced computer science syllabi across the world. 2. Coverage: Includes relational, NoSQL (Document, Key-Value, Column-Family, Graph), and specialized AI databases (Vector databases). 3. Full Lifecycle Perspective: Covers the entire data lifecycle from design, modeling, and implementation to deployment, MLOps integration, and governance. 4. Complete Capstone Project: A fully explained, working capstone project with code to provide a real-world development experience. 5. Focus on Modern Technologies: In-depth discussion of modern data architectures like Data Lakes, Lakehouses, and cloud-native database services. To Whom This Book is Addressed: This book is primarily intended for: 1. B.Tech and M.Tech Computer Science/IT Students: As a core or elective textbook that perfectly aligns with modern data-centric curricula. 2. Aspiring AI/ML Engineers and Data Scientists: To build the essential data backend skills required for a successful career in AI. 3. Software Developers and Architects: Who need to upskill and learn how to design data systems for intelligent applications. 4. Database Administrators (DBAs): Who wish to transition their skills to the world of AI and Big Data. 5. University Faculty and Educators: As a comprehensive resource for teaching courses on advanced database systems, Big Data, or AI infrastructure.

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Free Download Data-Driven Recruiting: Wie Machine Learning das Matching von Arbeitnehmern und Arbeitgebern optimiert
Deutsch | 28. Januar 2025 | ASIN: B0DVCG9JCD | 68 Seiten | Epub | 3.82 MB
In Zeiten, in denen Online-Jobbörsen und globale Vernetzung für eine Flut von Stellenanzeigen und Bewerberprofilen sorgen, bietet dieses Werk einen umfassenden Einblick in neue KI-Methoden, die den gesamten Rekrutierungsprozess effizienter gestalten. Autor Benjamin Liebel zeigt, wie moderne Algorithmen und insbesondere Large Language Models (LLMs) eingesetzt werden können, um aus großen Datenmengen automatisiert die passenden Übereinstimmungen zwischen Arbeitgebern und Arbeitnehmern abzuleiten. Zentrale Themen und Inhalte Transformer-Architekturen und NLP : Eine der Kernfragen besteht darin, wie man mithilfe von Text-Embeddings und semantischer Analyse ein tieferes Verständnis für Stellenanzeigen und Lebensläufe entwickelt. Dabei kommen moderne Techniken zum Einsatz, die den Inhalt von Texten kontextbezogen erfassen und bewerten. Methoden und Vorgehensweisen : Neben klassischen Verfahren wie TF-IDF oder Levenshtein-Distanz geht das Buch ausführlich auf fortgeschrittene Ansätze ein, etwa die Arbeit mit vortrainierten LLMs, unüberwachten und semi-überwachten Lernverfahren sowie Hybrid-Modellen zur Empfehlung von geeigneten Jobangeboten. Praktische Umsetzungen : Am Beispiel von realen und synthetisch erweiterten Datensätzen werden konkrete Implementierungsschritte beschrieben. Dabei kommt unter anderem Web-Scraping zum Tragen, um aktuelle Stellenangebote zu erfassen, die anschließend mithilfe von KI-Algorithmen ausgewertet werden. Beispiele zur Integration in Cloud-Services (z. B. Microsoft Azure) demonstrieren, wie solche Systeme skaliert und im Unternehmensumfeld sicher bereitgestellt werden können. Qualitätssicherung und Validierung : Ein weiteres Augenmerk liegt auf der statistischen Absicherung der Resultate. Manuelle Stichprobenvalidierungen stellen sicher, dass die maschinellen Vorhersagen möglichst nah an realen Bewertungskriterien liegen und gleichzeitig typische KI-Probleme wie Halluzinationen minimiert werden.

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Free Download Data-Driven Global Optimization Methods and Applications by Huachao Dong, Peng Wang, Jinglu Li
English | July 14, 2025 | ISBN: 1041065752 | 348 pages | MOBI | 24 Mb
This book presents recent advances in data-driven global optimization methods, combining theoretical foundations with real-world applications to address complex engineering optimization challenges.

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Free Download Data-Driven Decisions: An Introduction to Machine Learning
English | 2024 | ISBN: 9798230822387 | 230 pages | MOBI | 3.50 Mb
Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model evaluation, and interpretability. With a focus on how machine learning drives informed, data-driven decision-making across industries, the text balances technical depth with clarity. Through case studies, hands-on exercises, and discussions on ethical considerations, this book equips readers with the tools to apply machine learning effectively in solving real-world problems.

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Free Download Data-Driven Decision Support System in Intelligent HealthCare by Debnath Bhattacharyya, Yu-Chen Hu
English | August 12, 2025 | ISBN: 1032806273 | 272 pages | MOBI | 12 Mb
Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but also automating the generation of new and synthetic content making it easier to train and improve machine learning models.

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Free Download Data-Centric Business and Applications: Advancements in Information and Knowledge Management
English | September 29, 2024 | ISBN: 3031608143 | 393 pages | MOBI | 8.28 Mb
Embark on a journey into the future of business with a groundbreaking book that explores the dynamic interplay between data and business, unlocking its transformative power in strategy, decision-making, and application development. Dive deep into cutting-edge topics such as data governance, analytics, knowledge discovery, and AI, and gain an in-depth understanding of managing, analyzing, and extracting insights from complex data sets. This book's holistic approach sets this book apart, seamlessly integrating the latest information and knowledge management concepts. From integrating data-centric approaches into business models to addressing considerations in data-driven decisions, the diverse topics covered will provide invaluable insights into the central role of data in shaping the future of business and applications. This book sheds light on the ongoing advances in structural management, demonstrating how previously understood knowledge, technologies, and data can pave the way for sustainable solutions in the face of innovation, meet insight, and allow businesses to thrive in the digital age.

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Free Download Data Visualization with D3.js: Mastering Data Visualization with D3.js to Create Interactive and Dynamic Visuals by Agenta Millo
English | December 15, 2024 | ISBN: B0DQLWPBWZ | 461 pages | PDF | 179 Mb
Unlock the Power of Data Visualization with D3.js-Master the Art of Telling Stories with Your Data!

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Free Download Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples (Self-Learning Management Series)
English | December 23, 2025 | ASIN: B0FRM1FMP2 | 406 pages | EPUB (True) | 6.96 MB
Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples. Learn the core data structures and algorithms for optimized Python coding. Master Data Structures and Algorithms with Python - From Foundations to Real-World Applications Are you ready to take your Python coding to the next level? Data Structures and Algorithms Essentials You Always Wanted to Know is a practical, hands-on guide for self-taught programmers and junior developers who want to write smarter, faster, and more efficient code. Instead of drowning you in theory, Shawn Peters-an educator with nearly 20 years of experience-makes complex topics simple through clear explanations and real-world examples. From arrays, stacks, and queues to advanced structures like trees and graphs , this book helps you bridge the gap between simply knowing Python syntax and truly mastering the logic behind scalable, efficient applications. Key concepts such as dynamic programming , recursion , and graph algorithms are explained in a straightforward manner, with exercises to help reinforce your understanding. Inside, you'll discover how to: Analyze code performance with Big O, Omega, and Theta notations Write clean, reliable recursive functions for complex problems Master arrays, linked lists, trees, graphs, and hash tables Apply dynamic programming and greedy algorithms to real-world coding challenges By the end, you'll not only understand the fundamentals of data structures and algorithms with Python -you'll also know how to apply them to real-world projects, optimize your code, and build solutions that scale. Whether your goal is to solidify your foundation in data structures , prepare for technical interviews , or understand how to solve problems with Python algorithms , this book guides you every step of the way. Take your programming skills to the next level and become a confident, capable problem-solver.

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