Outros livros que poderiam interessá-lo

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  Morning Meditations For a Great...

  Cody Zimmerman

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  Do you want a guided meditation script to help you enhance your health and awareness? Please continue reading if this is the case.... 
  Have you been experiencing a lot of worry as of late? What happened to your mental strength? Insomnia: having trouble getting to sleep or staying asleep Do you, on the other hand, worry too much? Getting to sleep or staying asleep on a regular basis can be challenging for people who struggle with anxiety or stress. 
  Help yourself unwind and relax with this guided meditation script designed to reduce stress. 
  The best technique is worry-free meditation. 
  How to use meditation to fortify your commitment in surprisingly simple ways 
  If you stick to this script, you won't feel as tired or exhausted. 
  in addition to a great deal more 
  This tried and true guidance is easy to put into action. If you've never attempted meditation before, but want to, you can succeed by following the soothing instructions offered.

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  The Art of Machine Learning -...

  Craig Dames

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  Machine learning is a subset of artificial intelligence that enables computers to learn from data and make decisions without being explicitly programmed. It is a field that has grown significantly over the past few decades, revolutionizing industries such as healthcare, finance, and technology. By leveraging algorithms and statistical models, machine learning systems can identify patterns, make predictions, and continuously improve their performance. 
  The foundation of machine learning lies in data. Without data, machine learning models cannot function effectively. Data can come in various forms, including structured numerical data, unstructured text, images, and audio. The process of training a machine learning model involves feeding it large amounts of data, allowing it to recognize relationships and make informed predictions. 
  Machine learning is broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, where it learns to map inputs to outputs based on example pairs. This approach is commonly used in applications such as email spam detection and medical diagnosis. Unsupervised learning, on the other hand, deals with data that lacks labels. The model identifies patterns and structures within the data without prior guidance, making it useful for tasks like customer segmentation and anomaly detection. Reinforcement learning is a more dynamic approach where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. This technique is widely used in robotics and game development.

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  Cut: A Medical Murder Mystery

  Amy S. Peele

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  While the federal government is launching a national investigation on the “equity” of organ distribution a female tech CEO flies across country to get a liver transplant. Soon, well-respected transplant nurse Sarah Golden and her best friend, Jackie, find themselves tangled up in an intense plot to uncover the answer to the question on everyone’s mind: Can you buy your way up to the top of the waiting list? Their pursuit of justice brings them to Miami, San Francisco, and Chicago—a sometimes fun, sometimes dangerous roller coaster ride from which they barely escape with their lives.

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  The Ghost in the Telescope - The...

  Stephen Eales

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  The Ghost in the Telescope is an insider's account of the Herschel Space Observatory, which was launched to answer two of the biggest questions in astronomy: How were the stars and galaxies born? 
   
  Written in an engaging manner for a general audience, this book tells the stories of the telescope itself, the discoveries it made, and the engineers and astronomers who built and used it. 
   
  This book, based on the author's own experience and interviews with the key astronomers and engineers, tells the story of the mission, from its original concept on a piece of paper in Venice to the moment after the end of the mission when the engineers had to decide whether to crash the spacecraft into the Moon. This book describes all the major discoveries made with the telescope and also gives an account, accessible to anyone without previous scientific knowledge, of the latest research into the births of stars and galaxies. 
   
  This book may interest anyone who is curious about astronomy, space missions, and how astronomy is done in practice. It is designed for a general audience and does not require any previous scientific background.

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  Sustainability and...

  Lyric Vale

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  In the crucible of global environmental challenges, cities emerge as both the most vulnerable landscapes and the most promising laboratories for transformative change. Sustainable urban development represents a critical frontier where human innovation, technological advancement, and ecological consciousness converge to reimagine our collective living environments. This comprehensive exploration delves into the intricate world of sustainable urban infrastructure, examining how cities can evolve from passive consumers of resources to dynamic, regenerative ecosystems that actively contribute to environmental preservation and human well-being. 
  The journey through sustainable urban infrastructure is a narrative of hope, innovation, and strategic reimagining. By analyzing the complex intersections of technological design, environmental stewardship, and social resilience, this book unveils the multifaceted approaches that can transform urban landscapes from sources of environmental strain to models of sustainable living. Readers will explore how cutting-edge urban planning strategies, advanced infrastructure technologies, and holistic design principles can create cities that are not just environmentally responsible, but also more livable, adaptable, and responsive to the rapidly changing global challenges of climate change, population growth, and resource scarcity. From renewable energy systems and green building technologies to innovative transportation networks and circular economy principles, this exploration offers a visionary roadmap for designing urban environments that balance human needs with ecological sustainability.

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  Inconvenient Apocalypse An -...

  Wes Jackson, Robert Jensen

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  For decades, our world has understood that we are on the brink of an apocalypse—yet the only implemented solutions have been small and convenient, feel-good initiatives that avoid unpleasant truths about the root causes of our impending disaster. Wes Jackson and Robert Jensen argue that we must reconsider the origins of the consumption crisis and the challenges we face in creating a survivable future. Longstanding assumptions about economic growth and technological progress—the dream of a future of endless bounty—are no longer tenable. The climate crisis has already progressed beyond nondisruptive solutions. The end result will be apocalyptic; the only question now is how bad it will be. 
   
   
   
  Jackson and Jensen examine how geographic determinism shaped our past and led to today's social injustice, consumerist culture, and high-energy/high-technology dystopias. The solution requires addressing today's systemic failures and confronting human nature by recognizing the limits of our ability to predict how those failures will play out over time. Though these massive challenges can feel overwhelming, the coauthors weave a secular reading of theological concepts—the prophetic, the apocalyptic, a saving remnant, and grace—to chart a realistic path for humanity not only to survive our apocalypse but also to emerge with a renewed appreciation of the larger living world.

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