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Cucinare gli Ortaggi: Ricette Tradizionali e Internazionali : Come Trasformare gli Ortaggi in Piatti Straordinari
Italiano | 2025 | ASIN: B0DZVWR5GW | 124 Pages | EPUB | 44 MB
Con oltre 100 ricette tradizionali e internazionali, questo volume celebra la versatilità e il gusto di melanzane, peperoni, zucchine, zucca, pomodori, fagiolini, carote e cetrioli. Ogni capitolo è dedicato a un ortaggio specifico, con ricette dettagliate che spaziano da antipasti a primi piatti, contorni e secondi sfiziosi. Troverai anche deliziose varianti dal mondo per portare in tavola sapori unici e sorprendenti!

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Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making (English Edition) by Pradeep Menon
English | May 16, 2024 | ISBN: 9355519966 | 282 pages | PDF | 6.90 Mb
Data Mesh: The future of data architecture!

Key Features
● Decentralize data with domain-oriented design.
● Enhance scalability and data autonomy.
● Implement robust governance across domains.
Description
"Data Mesh: Principles, patterns, architecture, and strategies for data-driven decision making" introduces Data Mesh which is a macro data architecture pattern designed to harmonize governance with flexibility.
This book guides readers through the nuances of Data Mesh topologies, explaining how they can be tailored to meet specific organizational needs while balancing central control with domain-specific autonomy. The book delves into the Data Mesh governance framework, which provides a structured approach to manage and control decentralized data assets effectively. It emphasizes the importance of a well-implemented governance structure that ensures data quality, compliance, and access control across various domains. Additionally, the book outlines robust data cataloging and sharing strategies, enabling organizations to improve data discoverability, usage, and interoperability between cross-functional teams. Securing Data Mesh architectures is another critical focus. The text explores comprehensive security strategies that protect data across different layers of the architecture, ensuring data integrity and protecting against breaches.
By implementing the strategies discussed, data professionals will strengthen their ability to safeguard sensitive information in a distributed environment, making this book a vital resource for anyone involved in data management, security, or governance.
What you will learn
● Understand the evolution and need for Data Mesh architectures.
● Learn the core principles and design for Data Mesh implementations.
● Identify and apply Data Mesh architectural patterns and components.
● Implement effective Data Mesh governance frameworks.
● Develop and execute a strategic data cataloging plan.
● Create comprehensive data-sharing strategies and security strategies within Data Mesh.
Who this book is for
This book is ideal for data professionals, including chief data officers, chief analytics officers, chief information officers, enterprise data architects, data stewards, and data governance and compliance professionals.
Table of Contents
1. Establishing the Data Mesh Context
2. Evolution of Data Architectures
3. Principles of Data Mesh Architecture
4. The Patterns of Data Mesh Architecture
5. Data Governance in a Data Mesh
6. Data Cataloging in a Data Mesh
7. Data Sharing in a Data Mesh
8. Data Security in a Data Mesh
9. Data Mesh in Practice
Appendix: Key terms

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Data Science for Decision Makers: Enhance your leadership skills with data science and AI expertise by Jon Howells
English | July 26, 2024 | ISBN: 1837637296 | 270 pages | PDF | 5.11 Mb
Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results

Key FeaturesMaster the concepts of statistics and ML to interpret models and guide decisionsIdentify valuable AI use cases and manage data science projects from start to finishEmpower top data science teams to solve complex problems and build AI productsPurchase of the print Kindle book includes a free PDF eBookBook Description
As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.
This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.
By the end of this book, you'll be able to characterize the data within your organization and frame business problems as data science problems.
What you will learnDiscover how to interpret common statistical quantities and make data-driven decisionsExplore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learningFind out how to evaluate statistical and machine learning modelsUnderstand the data science lifecycle, from development to monitoring of models in productionKnow when to use ML, statistical modeling, or traditional BI methodsManage data teams and data science projects effectivelyWho this book is for
This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.
Table of ContentsIntroducing Data ScienceCharacterizing and Collecting DataExploratory Data AnalysisThe Significance of SignificanceUnderstanding RegressionIntroducing Machine LearningSupervised Machine LearningUnsupervised Machine LearningInterpreting and Evaluating Machine Learning ModelsCommon Pitfalls in Machine LearningThe Structure of a Data Science ProjectThe Data Science TeamManaging the Data Science TeamContinuing Your Journey as a Data Science Leader

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[booksz]

Data Structures in Depth Using C++:
A Comprehensive Guide to Data Structure Implementation and Optimization in C++
English | 2025 | ASIN : B0D9PT9N7Q | 374 Pages | PDF EPUB (True) | 118 MB

Understand and implement data structures and bridge the gap between theory and application. This book covers a wide range of data structures, from basic arrays and linked lists to advanced trees and graphs, providing readers with in-depth insights into their implementation and optimization in C++.

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Data Visualization and Storytelling with Tableau (Innovations in Multimedia, Virtual Reality and Augmentation) by Mamta Mittal, Nidhi Grover Raheja
English | June 15, 2024 | ISBN: 1032552220 | 476 pages | AZW3 | 64 Mb
Tableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau's Data Visualization and Storytelling feature, aspiring data scientists and analysts can develop their visual analytics skills and use them in both academic and business contexts.

Data Visualization and Storytelling with Tableau enables budding data analysts and data scientists to develop and sharpen their skills in the field of visual analytics and apply them in business scenarios as well as in academic context. This book approaches the Data Visualization workflow from a practical point of view, emphasizing the steps involved and the outcomes attained. A major focus of this book is the application and deployment of real-time case studies. Later chapters in this book provide comprehensive coverage for advanced topics such as data storytelling, data insights, color selection in graphs, publishing in tableau public, and misleading visualizations. Thus, this book emphasizes the need to visually examine and evaluate data through stories and interactive dashboards that are made up of appropriate graphs and charts. The case studies covered in this book are a natural extension of the visualization topics that are covered in each chapter. The intention is to empower readers to generate various dashboards, stories, graphs, charts, and maps to visualize and analyze data and support decision-making in business. Advanced charts that are pertinent to project management operations are also thoroughly explored, including comparison charts, distribution charts, composition charts, and maps. All these concepts will lay a solid foundation for data visualization applications in the minds of readers.
This book is meant for data analysts, computer scientists/engineers, and industry professionals who are interested in creating different types of visualization graphs for a given data problem and drawing interesting insights from the Descriptionted trends in order to make better business decisions in the future.
Features:Introduces the world of Business Intelligence to readers through visualizations in Tableau.Discusses the need and relevance of each business graph with the help of a corresponding real-time case study.Explores the art of picking a suitable graph with an appropriate color scheme for a given scenario.Establishes the process of gaining relevant insights from the analysis of visualizations created.Provides guidance in creating innovative dashboards and driving the readers through the process of innovative storytelling with data in Tableau.Implements the concept of Exploratory Data Analysis (EDA) in Tableau.

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Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases by Alkin Tezuysal, Ibrar Ahmed, Peter Zaitsev
English | July 26, 2024 | ISBN: 1803233478 | 222 pages | PDF | 4.46 Mb
Become well-versed with database modeling and SQL optimization, and gain a deep understanding of transactional systems through practical examples and exercises

Key FeaturesGet to grips with fundamental-to-advanced database design and modeling concepts with PostgreSQL and MySQLExplore database integration with web apps, emerging trends, and real-world case studiesLeverage practical examples and hands-on exercises to reinforce learningPurchase of the print or Kindle book includes a free PDF eBookBook Description
Database Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms.
As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you'll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world.
By the end of this book, you'll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.
What you will learnDesign a schema, create ERDs, and apply normalization techniquesGain knowledge of installing, configuring, and managing MySQL and PostgreSQLExplore topics such as denormalization, index optimization, transaction management, and concurrency controlScale databases with sharding, replication, and load balancing, as well as implement backup and recovery strategiesIntegrate databases with web apps, use SQL, and implement best practicesExplore emerging trends, including NoSQL databases and cloud databases, while understanding the impact of AI and MLWho this book is for
This book is for a wide range of professionals interested in expanding their knowledge and skills in database design and modeling with PostgreSQL and MySQL. This includes software developers, database administrators, data analysts, IT professionals, and students. While prior knowledge of MySQL and PostgreSQL is not necessary, some familiarity with at least one relational database management system (RDBMS) will help you get the most out of this book.
Table of ContentsSQL and NoSQL Databases: Characteristics, Design, and Trade-OffsBuilding a Strong Foundation for Database DesignGetting Your Hands Dirty with PostgreSQL and MySQLMastering the Building Blocks of Database Design and ModelingAdvanced Techniques for Advanced DatabasesUnderstanding Database ScalabilityBest Practices for Building and Maintaining Your DatabaseThe Future of Databases and Their Designs

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Decide Better: Open and Interoperable Local Digital Twins
English | 2025 | ISBN: 3031814509 | 373 Pages | PDF EPUB (True) | 58 MB
Decide Better: Open and Interoperable Local Digital Twins explores the transformative potential of Local Digital Twins (LDTs) in urban governance. The book begins by introducing the concept of LDTs, which create digital replicas of cities or regions, combining real-time data and simulations to inform decision-making. It highlights how LDTs can enhance urban management by fostering collaboration among stakeholders and providing evidence-based insights for policy and operational strategies. The book emphasises the importance of openness, interoperability, and ethical use in LDT development, offering practical guidance for policymakers, urban planners, and technologists.

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Zeynep Kilicoglu, "Deconstructing Refugee Women's Empowerment: A Comparative Approach to British and French Aid Structures "
English | ISBN: 1032615532 | 2025 | 198 pages | PDF | 19 MB
This book explores how self-identified feminist or women's organizations in the asylum and charity sectors in the United Kingdom and France attach meanings to and address refugee women's empowerment in their operations and how these perpetuate or disrupt global hierarchies.

Adopting a feminist, intersectional, and post-colonial approach, this book provides a nuanced assessment on how refugee assistance might move beyond the dominant "vulnerability versus empowerment" dichotomy. Acknowledging how some of the current practices still impose vulnerability on women, it aims to contribute to the newly established literature exploring how refugeehood and asylum-seeking are not necessarily disempowering for fleeing women, as they can provide new opportunities for negotiating gender norms, supporting women to practice agency. Building on rich empirical work conducted via semistructured interviews with refugee women and aid professionals, and participant observation in refugee communities, the book scrutinises how refugee women's empowerment is embedded in the histories of colonialism, biopolitics, racism, and patriarchy, which legitimises the boundaries between the West and the rest, and it sheds light on the new strategies created by communities to move beyond these hierarchies, acknowledging women as autonomous actors who do not need to rely on aid structures.
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Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 1
English | 2025 | ISBN: 9819612845 | 222 Pages | PDF (True) | 7 MB
This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates deep learning models such as convolution neural networks, deep learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.

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Deep Selling: How to Engage Buyers and Drive Growth in the Age of AI by Graham Hawkins, Mark Micallef
English | December 9, 2024 | ISBN: 1394303068 | 336 pages | MOBI | 5.23 Mb
Develop stronger, more profitable relationships with your buyers in the digital era

Right now, how we buy and sell is evolving dramatically. People have fundamentally changed the way they do business. To put it simply: buyers no longer interact with sellers in the same way. To ensure a profitable future, sales leaders and teams need to embrace this transformation. In the face of globalisation, ecommerce, subscription services, and new digital tools for buyers and sellers alike, you need new strategies to generate successful sales and better bottom lines.
Deep Selling shares the cutting-edge sales model you need to create a buyer-obsessed, high-performance culture. Your team urgently needs to embrace the growing suite of digital and AI technologies. But new technologies alone won't solve all your selling problems. To really maximise your success, you need to evolve your selling frameworks and behaviours. You need to use these new tools in smart ways, embedding them into your sales execution models.
In this book, you'll discover how to:Audit the current sales techniques and cycles in your organisationTransform your sales execution modelsAchieve organisational buy-in through new performance measures and shared goals for successUse data to drive strategy, and revolutionise your selling with the latest digital and AI toolsBuild deeper buyer relationships that create more value and improve buyer outcomes
With Deep Selling, you and your team will learn how to meet buyers on today's real-world terms ― and engage them more fully and successfully than ever before.

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Deepfake Defense 2025: AI‐Driven Strategies for Synthetic Media Detection by Taylor Royce
English | February 6, 2025 | ISBN: N/A | ASIN: B0DWFYM1MG | 67 pages | EPUB | 0.29 Mb
In an age of synthetic media, Deepfake Defense 2025: AI-Driven Strategies for Synthetic Media Detection is an extensive, state-of-the-art manual that gives you the skills and information you need to protect digital property. This book offers in-depth analysis and useful tactics to identify, combat, and stop the misuse of AI-generated content as deepfakes get more complex.

You will learn in this painstakingly researched volumeetailed Technical Information: Discover how sophisticated algorithms, including as GANs, transformers, and self-supervised learning methods, are used to both produce and identify deepfakes. The book maintains technical accuracy while explaining these technologies in an easy-to-understand manner.Practical Uses and Case Studies: Examine in-depth case studies from a variety of industries, including national security, entertainment, banking, and journalism. Learn how media has been manipulated by deepfakes and how experts are successfully retaliating with creative detection techniques.Detection Systems That Forecast the Future: Explore cutting-edge concepts like federated learning, quantum computing, and human-AI cooperation. These proactive tactics are intended to stay up with the quickly changing synthetic media landscape, guaranteeing the stability and dependability of detection systems.Regulatory and Ethical Views: The book also looks at the moral conundrums and legal issues raised by deepfake technology. It highlights the significance of transparency and digital literacy while outlining the role that governments and international organizations play in establishing global standards and policy.Practicable Techniques for Experts: Regardless of your role cybersecurity specialist, digital forensic investigator, or policymaker this guide provides practical methods for incorporating deepfake detection into your process. In order to improve overall digital security, it also offers suggestions for industry best practices and cross-sector cooperation.Deepfake Defense 2025 is a vital tool for anyone interested in learning about the social effects of synthetic media, not just those directly involved in cybersecurity and artificial intelligence. With its well-balanced combination of technical in-depth knowledge, real-world case studies, and innovative analysis, this book equips readers to take decisive action and make well-informed decisions in the battle against digital manipulation.
Join the struggle to protect the integrity of our information ecosystem and arm yourself with the knowledge you need to navigate a digital world that is becoming more and more influenced by AI-generated material. Your guide to comprehending and thwarting the deepfake phenomenon in the contemporary period is Deepfake Defense 2025.

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Deepfake Defense: Protecting Your Business from AI Fraud and Misinformation by Taylor Royce
English | December 31, 2024 | ISBN: N/A | ASIN: B0DS1DRBK7 | 68 pages | EPUB | 0.56 Mb
Deepfake technology poses an unprecedented threat to individuals, corporations, and organizations in the quickly changing digital landscape of today. Deepfakes AI-generated audio, video, and image content intended to deceive are becoming a serious issue rather than a theoretical one. Deepfakes have the potential to seriously damage people's reputations, finances, and public trust in a variety of ways, from fraud and disinformation campaigns to criminality and brand impersonation.

The thorough manual Deepfake Defense: Protecting Your Business from AI Fraud and Misinformation was created to give IT teams, cybersecurity experts, and business executives the information, tactics, and resources they need to combat this escalating danger. This book explores the realm of deepfakes in great detail, covering everything from the technology that creates them to the best ways to identify and respond to them.
Inside, you'll find:The Science Behind Deepfakes: Learn about the complex AI methods and algorithms that underpin deepfakes and how they are employed for manipulation and fraud.Comprehensive Defense Strategies: Discover how to create strong defenses, such as sophisticated AI-powered detection systems and staff training initiatives.Industry-Specific Risks: Examine the particular risks that sectors like media, entertainment, healthcare, and finance face and how to reduce them.Legal and Ethical Considerations: Recognize your organization's need to preserve data and privacy while navigating the intricate legal and regulatory environment surrounding deepfake technology.Future-Proofing Your Organization: Keep up with new developments in deepfake trends and learn how ongoing advancements in detecting technology can protect your company's future.Deepfake Defense provides crucial advice for any business aiming to counter the growing threat of AI-powered fraud and misinformation through real-world case studies, expert insights, and workable solutions. Give yourself and your company the resources you need to safeguard your reputation, clients, and brand in this era of online fraud.

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DeepSeek vs. ChatGPT - Der globale Wettlauf um KI, Finanzen & Marktmacht:
Wie China und die USA um die Vorherrschaft in der KI kämpfen
Deutsch | 2025 | ASIN: B0DXS8LWTV | 248 Pages | EPUB | 19 MB

Künstliche Intelligenz ist der Gamechanger unserer Zeit - und DeepSeek sowie ChatGPT stehen an der Spitze eines globalen Wettkampfs um die technologische Vorherrschaft. Doch was unterscheidet die beiden Systeme? Wie beeinflussen sie Wirtschaft, Politik und Sicherheit? Und welche Investitionschancen ergeben sich daraus?

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Michael J. Ardoline, "Deleuze, Mathematics, Metaphysics: Difference and Necessity "
English | ISBN: 1399536338 | 2024 | 240 pages | PDF | 1318 KB
Deleuze, Mathematics, Metaphysics provides new solutions to the central problems of the philosophy of mathematics by reconstructing Deleuze's metaphysics. It does so through direct engagement with analytic and continental philosophy, along with the formal and natural sciences. These new Deleuzian solutions reject equally other-worldly accounts of mathematics, such as Platonism, and accounts which treat mathematics as a useful fiction or an empty formalist game. Instead, Deleuze, Mathematics, Metaphysics argues that mathematical truth is grounded in the necessity of difference itself.

Since difference is entirely this-worldly, the truth of mathematics does not require us to posit the reality of transcendent entities or possible worlds. Doing so not only provides a new metaphysics of mathematics; it also explains the usefulness of mathematics for science and why mathematical truth appear to have such otherworldly properties in the first place.
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Democratic Elitism: The Founding Myth of American Political Science by Natasha Piano
English | April 1, 2025 | ISBN: 0674295374, 9780674298989 | True PDF | 256 pages | 14.1 MB
A searing argument―and work of meticulous scholarship―about how American political scientists misinterpreted the elite theory of democracy and in so doing made our political system vulnerable to oligarchic takeover.

Do competitive elections secure democracy, or might they undermine it by breeding popular disillusionment with liberal norms and procedures? The so-called Italian School of Elitism, comprising Vilfredo Pareto, Gaetano Mosca, and Robert Michels, voiced this very concern. They feared that defining democracy exclusively through representative practices creates unrealistic expectations of what elections can achieve, generating mass demoralization and disillusionment with popular government.
The Italian School's concern has gone unheeded, even as their elite theory has been foundational for political science in the United States. Democratic Elitism argues that scholars have misinterpreted the Italians as conservative, antidemocratic figures who championed the equation of democracy with representative practices to restrain popular participation in politics. Natasha Piano contends not only that the Italian School's thought has been distorted but also that theorists have ignored its main objective: to contain demagogues and plutocrats who prey on the cynicism of the masses. We ought to view these thinkers not as elite theorists of democracy but as democratic theorists of elitism.
The Italian School's original writings do not reject electoral politics; they emphasize the power and promise of democracy beyond the ballot. Elections undoubtedly are an essential component of functioning democracies, but in order to preserve their legitimacy we must understand their true capacities and limitations. It is past time to dispel the delusion that we need only elections to solve political crises, or else mass publics, dissatisfied with the status quo, will fall deeper into the arms of authoritarians who capture and pervert formal democratic institutions to serve their own ends.

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