Weitere Bücher, die Sie mögen werden

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  Emergency

  Neil Strauss

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  Terrorist attacks. Natural disasters. Domestic crackdowns. Economic collapse. Riots. Wars. Disease. Starvation.  
  What can you do when it all hits the fan?  
  You can learn to be self-sufficient and survive without the system.  
  ""I've started to look at the world through apocalypse eyes."" So begins Neil Strauss's harrowing new book: his first full-length work since the international bestseller The Game, and one of the most original-and provocative-narratives of the year.  
  After the last few years of violence and terror, of ethnic and religious hatred, of tsunamis and hurricanes–and now of world financial meltdown–Strauss, like most of his generation, came to the sobering realization that, even in America, anything can happen. But rather than watch helplessly, he decided to do something about it. And so he spent three years traveling through a country that's lost its sense of safety, equipping himself with the tools necessary to save himself and his loved ones from an uncertain future.  
  With the same quick wit and eye for cultural trends that marked The Game, The Dirt, and How to Make Love Like a Porn Star, Emergency traces Neil's white-knuckled journey through today's heart of darkness, as he sets out to move his life offshore, test his skills in the wild, and remake himself as a gun-toting, plane-flying, government-defying survivor. It's a tale of paranoid fantasies and crippling doubts, of shady lawyers and dangerous cult leaders, of billionaire gun nuts and survivalist superheroes, of weirdos, heroes, and ordinary citizens going off the grid.  
  It's one man's story of a dangerous world–and how to stay alive in it.  
  Before the next disaster strikes, you're going to want to read this book. And you'll want to do everything it suggests. Because tomorrow doesn't come with a guarantee...

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  Edge AI & Edge Computing -...

  Sam Miley

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  Smarter. Faster. Closer to the action. 
  The future of intelligent technology isn't in distant data centers — it's at the edge. From self-driving cars and smart cameras to industrial automation and personalized healthcare, Edge AI is powering a new generation of ultra-responsive, real-time systems. 
  In this action-oriented guide, you’ll discover how Edge AI and edge computing work together to deliver lightning-fast insights, reduced latency, and privacy-first intelligence — all without relying on the cloud. Whether you're building IoT solutions, optimizing machine learning pipelines, or leading digital transformation, this book gives you the competitive edge. 
  Inside, you’ll learn how to: 
  •	Build scalable edge architectures with real-time processing 
  •	Deploy AI models on devices from smartphones to sensors 
  •	Optimize for speed, bandwidth, and offline functionality 
  •	Use tools like NVIDIA Jetson, TensorFlow Lite, and edge containers 
  •	Apply edge AI in smart cities, retail, healthcare, and industry 4.0 
  If your business depends on fast decisions, smart automation, and powerful user experiences — this book shows you how to put intelligence where it matters most. At the edge.

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  Guided sleep meditation for...

  Stuart Newman

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  Do you want to feel more courageous, confident and powerful?  
  Then guided sleep meditation with DST Hypno and Stu Newman is the perfect solution for you!  
  With this program, you can unlock your inner power while sleeping deeply.  
  It will help improve self-esteem by developing positive thinking patterns that are reinforced during deep relaxation.  
  Guided sleep meditation also helps reduce stress levels so that courage and confidence can blossom without fear of failure or rejection.  
  Plus, it's easy to use - just listen to the audio track as your drift off into a peaceful slumber each night for an improved sense of wellbeing in no time at all!

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  How to Become a Network...

  Praveen Kumar

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  Network marketing is perhaps the most misunderstood concept of wealth creation. It generates strong emotions. Most of us were invited to a fancy presentation and got excited with the prospect of working from home, firing our boss, no office politics or commuting to work. There were dreams in our eyes of a better future. But then what happened…. Reality broke through. We suffered rejection from our friends and families. Our recruiting drive never took off. We never saw those fancy checks coming into our bank accounts. What happened?  Were we lied to by persons who sponsored us or were they also victim of the same lies. How much more pain from failure are you voluntarily willing to withstand?This audiobook will restore your shattered dreams by giving you instant access to the secrets that most gurus never tell. It will show you the way to become a network marketing superstar. The hottest new strategies contained in this book will help you rebuild your dreams. Imagine how amazing it is going to feel when prospects start chasing you to join your business rather than you running after them to recruit. The army of fans you create will guarantee your success and financial wellbeing.This audiobook will uncover the truths that you were never told about network marketing and will show you the smart way to build your business:•	How to recruit loyal legions of followers who will follow you to death?•	How to build a network that will not collapse?•	How to increase your retention rate?•	How does principle of compounding work in network marketing business?•	How to apply leverage in your network marketing business for accelerated growth?•	How to generate cash flow to fund your network marketing business?•	How to generate leads for your business without emptying your wallet?This book will take you by the hand and empower you to build your network marketing business light years ahead of your competitors.

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  Where Are the Little Green Men?...

  Terry Adair

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  This audiobook is narrated by an AI Voice.   
  In a universe teeming with trillions of planets, why is there no evidence of other technological civilizations? Enrico Fermi’s famous paradox has puzzled scientists for decades. In Where Are the Little Green Men?, Terry Adair offers a bold, rigorous answer: The Adair Hypothesis. 
  Life may be common—but civilization is not. Advanced technology demands more than intelligence; it requires a rare surplus of dense, stored energy, built through improbable cosmic, geological, and biological coincidences. From the violent birth of planets to the miracle of photosynthesis, ancient carbon burial, and humanity’s energy leaps—coal, oil, gas, fission, and the promise of fusion—Adair traces the fragile chain that allowed us to escape biology and ignite industry. 
  The Great Silence isn’t a graveyard of fallen empires. It’s a startling reminder of how rare we may be—and the responsibility that comes with it. A fast-moving, interdisciplinary exploration of cosmology, astrobiology, and energy physics, this book reframes our cosmic solitude not as loneliness, but as extraordinary privilege.

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  Deep Learning with Python -...

  Simon Winston

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  Deep learning has revolutionized the field of artificial intelligence, enabling computers to perform complex tasks that were once thought to be exclusive to human intelligence. Python, with its rich ecosystem of libraries and frameworks, has emerged as the language of choice for implementing deep learning algorithms. 
  "Deep Learning with Python: Bridging the Gap for Advanced AI" is a comprehensive guide that takes readers on a journey through the world of deep learning, equipping them with the knowledge and skills necessary to bridge the gap between basic understanding and advanced applications. 
  This book begins with a solid foundation in the fundamentals of deep learning, covering neural networks, deep architectures, and optimization techniques. Readers will explore the building blocks of deep learning with Python, including data preparation and preprocessing, model selection and evaluation, and an in-depth look at popular deep learning libraries and tools like TensorFlow, Keras, and PyTorch. 
  Moving beyond the basics, the book dives into advanced techniques such as convolutional neural networks (CNNs) for image classification and object detection, recurrent neural networks (RNNs) for sequence modeling and language generation, and generative adversarial networks (GANs) for image generation and style transfer. 
  The book also delves into deep learning for natural language processing, covering word embeddings, language modeling, and text classification. It explores transfer learning and deep reinforcement learning, providing insights into how pre-trained models can be leveraged and how deep learning can be applied to solve complex problems in reinforcement learning domains.

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