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  Data Generation - Unlocking the...

  Sam Miley

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  In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes. 
  This comprehensive guide dives into the methods, tools, and frameworks behind modern data generation, from generating high-quality synthetic datasets for machine learning to building simulation environments that mirror complex real-world systems. You’ll discover how to augment datasets, preserve privacy, test edge cases, and accelerate innovation in industries ranging from autonomous vehicles and healthcare to finance and cybersecurity. 
  Inside this book, you’ll learn: 
  •	The principles and trade-offs of real, synthetic, and simulated data 
  •	How to generate synthetic data using AI models such as GANs and variational autoencoders 
  •	Techniques for building digital twins and simulation platforms for training and testing 
  •	Strategies for data augmentation, bias reduction, and privacy protection 
  •	Real-world applications and case studies across sectors 
  •	Future directions in data generation for responsible AI and scalable system design 
  This book equips you with the tools and insights to unlock new possibilities with generated data—without compromising quality, ethics, or performance.

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  Implementing Data Mesh - Design...

  Jean-Georges Perrin, Eric Broda

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  As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization. 
   
   
   
  In this book, Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code. Data engineers, architects, and analysts will explore a simple and intuitive process for identifying key data mesh components and data products. You'll learn a consistent set of interfaces and access methods that make data products easy to consume. 
   
   
   
  This approach ensures that your data products are easily accessible and the data mesh ecosystem is easy to navigate. This book helps you identify, define, and build data products that interoperate within an enterprise data mesh; build a data mesh fabric that binds data products together; build and deploy data products in a data mesh; establish the organizational structure to operate data products, data platforms, and data fabric; and learn an innovative architecture that brings data products and data fabric together into the data mesh.

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  Product Management for Beginners...

  Steve Abrams

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  Dive into the dynamic world of product management with this essential guide tailored specifically for beginners. "Product Management for Beginners: Building Great Products. A Beginner’s Guide to Effective Product Management" offers a clear and practical approach to mastering the fundamentals of product management. Whether you aspire to become a product manager or simply aim to better understand the field, this book provides the knowledge and tools needed to navigate the complexities of creating and maintaining successful products. 
  Through engaging content, this book covers all the key areas of product management, including understanding what product managers do, the importance of a product vision, how to strategize effectively, and the entire lifecycle of a product from ideation to retirement. Learn how to communicate with cross-functional teams, manage stakeholder relationships, and use data to make informed decisions. 
  Discover strategies for working alongside designers and developers, and grasp the intricacies of market analysis and user research. Each chapter is filled with real-world examples, practical tips, and actionable insights, making complex concepts accessible and understandable. 
  "Product Management for Beginners: Building Great Products. A Beginner’s Guide to Effective Product Management" is your indispensable resource for stepping confidently into the product management arena. With this guide by your side, you will develop the skills to create products that resonate with users and succeed in the marketplace. Start your journey to becoming a proficient product manager and bring your innovative ideas to life! 
   

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  The Rise of Generalist - Unlock...

  Aarav Khadka

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  Discover the hidden power of being a generalist in today’s fast-changing world. In The Rise of the Generalist, Aarav Khadka explores how curiosity, adaptability, and the ability to connect skills across fields can unlock creativity, innovation, and personal growth. Perfect for lifelong learners, tech enthusiasts, and future-focused professionals, this audiobook reveals why being good at many things isn’t a weakness—it’s your ultimate advantage.

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  Text-book of Assaying

  Cornelius Beringer

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  This is a formal but relaxed text covering assaying techniques for most of the substances which are mined. As the authors say: "At first our intention was to supply a description of those substances only which have a commercial value, but on consideration we have added short accounts of the rarer elements..."The book's early chapters are wide-ranging, describing the general theory of assaying and a range of methods and reagents, with the later chapters describing analytical methods for different groups of metals and for some non-metallic substances. It includes many excellent illustrations of the scientific method, demonstrating the effects of changing the parameters of many of the assay techniques.It was first published in 1889; this edition in 1904.[The reader has omitted some mathematical examples, tables of data and descriptions of figures, where their inclusion would seem to over-complicate the text; and has attempted to describe many of the pieces of apparatus which are illustrated.] (Introduction by Peter Yearsley)

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  What You Don't Know - AI's...

  Cortnie Abercrombie

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  You are probably not aware, because of their hidden nature, but artificial intelligence systems are all around you affecting some of the biggest areas of your life—jobs, loans, kids, mental health, relationships, freedoms, and even healthcare decisions that can determine if you live or die. As an executive working in AI at one of the largest, most sophisticated tech companies on the planet, Cortnie Abercrombie saw firsthand how the corporate executives and data science teams of the Fortune 500 think about and develop AI systems. In this book she makes it easy to understand how AI works and unveils what companies are doing with AI that can impact you the most. Most importantly, she offers practical advice on what you can do about it today and the change you should demand for the future. 
   
   
   
  This book addresses the pressing questions that non-insiders want answered, including: how does AI work (in words you don't need a PhD to understand)?; how can AI affect my job, replace me, or prevent my hire?; is AI involved in life-or-death decisions in healthcare?; could my digital accounts or home network be hacked because of my AI-based smart TV, coffeemaker, or robot vacuum?; how does AI know so much about me, what does it know, and can it be used against me?; can it manipulate people to do things they wouldn't normally?; and much more.

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