Other books that might interest you

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  William Stanek's The Living...

  The Editors of Our American...

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  Yellowstone was old long before anyone imagined a national park.
  
  Beneath its forests and snow lies a restless volcanic system. Across its valleys move bison, elk, wolves, bears, rivers, fire, and migrations that refuse to obey boundaries. Across thousands of years, Indigenous peoples knew and used this country before explorers, railroads, soldiers, tourists, scientists, and lawmakers transformed the way it was understood.
  
  William Stanek's The Living Yellowstone Biography tells the sweeping life story behind America's first national park-from fire beneath the earth and life above it to the invention of Yellowstone, the mistakes made in managing it, the return of wolves, the changing meaning of wilderness, and the unfinished work of protecting a living system.
  
  This is Yellowstone beyond the postcard: ancient, contested, resilient, and still becoming.

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  AI-Proof Your Career Before...

  Bryan Banks

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  This audiobook is narrated by an AI Voice. AI is not coming for every job in the same way. It is coming first for predictable tasks, replaceable output, invisible effort, and people whose value is hard to explain. If your work can be reduced to a prompt, a template, a report, a dashboard, or a cheaper version of the same deliverable, you need more than optimism. You need a career strategy. 
   
  AI-Proof Your Career Before You're Replaced is a practical audiobook about job security, automation, artificial intelligence at work, layoffs, reskilling, career resilience, and the human skills that become more valuable when cheap output floods the workplace. 
   
  You will learn how to identify which parts of your role are vulnerable, how to move toward judgment, trust, communication, ownership, taste, client understanding, and decision-making, and how to make your value visible before management starts asking what can be automated.

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  On the Origin of Species

  Charles Darwin

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  'It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change.'
  
  Considered as the foundation of evolutionary biology, Charles Darwin's groundbreaking On the Origin of Species profoundly transformed the field of biology at the time, as well as contemporary religious beliefs.
  
  First published in 1859, On the Origin of Species presents Darwin's theory of evolution by natural selection. Darwin argues that species evolve over time; individuals with superior traits better suited to their environment are more likely to survive and reproduce. These favourable traits become more common in subsequent generations, leading to the gradual development of a new species. Darwin draws upon extensive evidence from biology, geology and the animal kingdom to support his theory, challenging the idea that species are fixed and unchanging. Revolutionary in its influence, On the Origin of Species laid the foundation for modern evolutionary biology, genetics and ecology. This audiobook edition is skilfully narrated by Mark Elstob.
  Charles Darwin (1809 – 1882) was an English biologist, naturalist and geologist. Initially studying medicine and theology, Darwin became drawn to natural science, wherein he developed the pioneering theory of evolution via natural selection. He remains a hugely respected figure in science to this day.

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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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  Rhinoceros Giants - The...

  Donald R. Prothero

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  Written for everyone fascinated by the huge beasts that once roamed the earth, this book introduces the giant hornless rhinoceros, Indricotherium. These massive animals inhabited Asia and Eurasia for more than 14 million years, about 37 to 23 million years ago. They had skulls six feet long, stood twenty-two feet high at the shoulder, and were twice as heavy as the largest elephant ever recorded, tipping the scales at 44,100 pounds. Fortunately, the big brutes were vegetarians. Donald R. Prothero tells their story, from their discovery just a century ago to the latest research on how they lived and died.

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  Stepwise Python Guide to AI and...

  Noah Whitman

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  A thorough manual for individuals unfamiliar with artificial intelligence and machine learning is the Stepwise Python Guide to AI and Machine Learning Beginners: Simple Explanations Projects and Workflows for Future Intelligent Software. The book offers a straightforward, simple way to understand difficult ideas, beginning with the foundations of Python programming and progressing to real-world AI applications. To ensure readers can follow along step by step and acquire both theoretical knowledge and practical experience in real-world situations, each chapter is meticulously organized. 
  The book emphasizes learning by doing, providing examples and procedures to support each new idea. Data handling, fundamental mathematical concepts, machine learning techniques, and real-world applications like image recognition, classification, regression, clustering, and natural language processing will all be covered for readers. Beginners gain the confidence and skills necessary to build effective software solutions while understanding the logic behind each step, thanks to this explanation, demonstration, and application combo. 
  Stepwise Python Guide to AI and Machine Learning Beginners emphasizes the importance of responsible AI development alongside programming and technical skills. The inclusion of ethical considerations, model evaluation, and deployment methodologies helps readers build responsible, efficient intelligent systems. Anyone looking to confidently and clearly join the fascinating realm of artificial intelligence should start with this book.

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