Weitere Bücher, die Sie mögen werden

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  Sustainability in Software...

  Steve Abrams

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  In "Sustainability in Software Engineering: Harnessing Eco-Efficient Techniques for Modern Development," readers are invited into the evolving world of sustainable software practices where innovation meets environmental responsibility. This book equips software engineers, tech leaders, and sustainability advocates with the essential knowledge and tools needed to integrate eco-efficiency into every stage of software development. 
  From foundational concepts and principles of sustainability to advanced techniques and strategies, the book provides a thorough exploration of how software engineering can contribute positively to the environment. Readers will discover how to optimize code for energy efficiency, select the right tools and technologies that reduce environmental impact, and implement green algorithms and architectures that promote sustainability. 
  Each chapter is enriched with real-world case studies, practical examples, and actionable insights that illuminate the path toward more sustainable software practices. Metrics and measurement tools are discussed in detail, providing readers with the means to assess their progress and impact. 
  "Sustainability in Software Engineering" is more than just a guide—it's a call to action for software professionals to lead the charge in creating a more sustainable future through thoughtful, responsible, and innovative engineering practices. Whether you're a developer, a project manager, or a CTO, this book will inspire and challenge you to make sustainability a core part of your professional projects and products. 
   

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  Numbers don’t lie: Benford’s Law...

  Clement Pereira

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  This audiobook takes readers on a fascinating journey into one of the most counterintuitive patterns in mathematics—Benford’s Law—and its surprising relevance in today’s data-driven world. Once considered a mathematical curiosity, Benford’s Law now plays a pivotal role in fields ranging from forensic accounting to AI algorithm verification. 
  This timely and insightful guide demystifies the law’s underlying principles, explores its statistical significance, and demonstrates how it’s being applied in the modern era of big data, machine learning, blockchain, and cybersecurity. Whether you're a data scientist, digital auditor, analyst, or curious mind, this book equips you with the knowledge to detect anomalies, verify authenticity, and better understand the digital fingerprints of numerical data. 
  Key Learning Outcomes: 
  1. Understand Benford’s Law - Learn the mathematical foundation behind why lower digits (especially 1s) appear more frequently in real-world data. 
  2. Explore Historical and Theoretical Context. 
  3. Identify Real-World Applications - See how Benford’s Law is applied in areas like accounting fraud detection, election data analysis, tax audits, and scientific data validation. 
  4. Use Benford’s Law in the AI Era - Understand how AI systems and machine learning models can both exploit and validate data using Benford’s principles. 
  5. Detect Anomalies and Manipulation 
  6. Integrate with Digital Forensics Tools 
  7. Evaluate Ethical and Legal Implications 
  ✅ Includes optional Advanced Track and Worked Examples. 
  ✅ Eligible for CPD/PDU's (Continuing Professional Development / Professional Development Unit), Self-Attesting CPD Certificate included. 
    
  Numbers never lie - but people often do.  
  This audio book endevours to show you how to catch them.

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  The Girl Who Waited For The Sun

  Proiti Seal Acharya

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  What happens to the girl who eagerly waited for the sun but kept facing boulders of difficulties at every step? Will she give up? Will she stop looking for the big ball of light altogether? Or will she come up with a new plan!

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  The Future of Robotics - Trends...

  Craig Dames

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  The story of robotics begins long before the first programmable machines. Ancient myths and early mechanical inventions hinted at humanity’s fascination with artificial beings. However, the real journey started during the Industrial Revolution, when mechanized tools began to change how humans worked. These early systems weren’t true robots, but they laid the groundwork for what would come. As electricity, computing, and engineering advanced in the 20th century, robotics emerged as a distinct and rapidly growing field. 
  The first generation of robots were largely industrial machines—mechanical arms programmed to perform repetitive tasks in factories. Introduced in the 1950s and 60s, these robots revolutionized manufacturing. They worked tirelessly on assembly lines, improving productivity and safety. Though not intelligent by today’s standards, they marked a turning point by taking on tasks traditionally done by human hands. This era showcased the robot as a tool—precise, consistent, and dependable in controlled environments. 
  The late 20th and early 21st centuries saw major breakthroughs that transformed robotics from rigid machines into adaptive systems. The rise of microprocessors, sensors, and more sophisticated programming enabled robots to interact with their environment. No longer confined to factory floors, they began to appear in fields like space exploration, surgery, and even homes. The introduction of AI brought a fundamental shift. Robots could now learn from data, recognize patterns, and make decisions. This leap allowed them to handle complex, dynamic tasks—like navigating unknown terrain or assisting in delicate operations.

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  Silicon Sentience: The Looming...

  John Harpoon

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  The evolution of artificial intelligence (AI) marks one of the most groundbreaking and transformative developments in human history. From the early musings of philosophers to the creation of machines that can learn and adapt, AI has emerged as a force with the potential to reshape every aspect of society. The origins of AI can be traced back to the mid-20th century when scientists began to explore the idea of creating machines that could simulate human intelligence. However, it wasn’t until the invention of electronic computers in the 1940s that the possibility of artificial intelligence became a tangible pursuit. 
  The term "artificial intelligence" was coined in 1956 by John McCarthy, a computer scientist who is often regarded as one of the fathers of AI. This period marked the beginning of the AI revolution, fueled by a combination of new computing technology and an increasing interest in mimicking human cognitive functions. Early AI research focused on developing algorithms that could perform tasks like solving mathematical problems, playing chess, or even translating languages. These early experiments laid the groundwork for the sophisticated AI systems that followed. 
  In the 1960s and 1970s, AI research gained momentum as researchers developed expert systems that could make decisions in specialized fields like medicine and engineering. These systems relied on a set of rules and logical reasoning to emulate the decision-making abilities of human experts. However, progress was slow, and AI experienced what is often referred to as the "AI winter," a period of reduced funding and interest in the field, which occurred in the 1970s and 1980s.

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  Baby Sleep Training - The No-Cry...

  Sebastian J. Smith

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  "Baby Sleep Training" is an essential audiobook for parents seeking effective, compassionate, and research-backed methods to help their babies establish healthy sleep habits. This guide provides practical strategies for managing sleep challenges, promoting better rest for both babies and parents, and ensuring long-term positive sleep patterns. 
  Key Features:Expert-Backed Advice: Written by sleep specialists, this audiobook provides proven techniques grounded in the latest pediatric sleep research.Easy-to-Understand Tips: The audiobook is structured in a clear, simple, and easy-to-follow format, ideal for busy parents.Age-Appropriate Solutions: Tailored strategies for different stages of a baby’s development, from newborns to toddlers.Gentle, Positive Approach: Emphasizing gentle sleep training methods that foster a secure and soothing bedtime routine for babies. 
  Sleep issues are one of the most common challenges faced by parents. "Baby Sleep Training" offers a stress-free approach to solving these issues, using methods that are not only effective but also nurturing. The audiobook emphasizes consistency, patience, and understanding, ensuring that parents feel confident and empowered throughout the process. 
  Give your baby the gift of restful sleep and your family the relief of a peaceful night. Download "Baby Sleep Training" today and begin the journey to better sleep for everyone.

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