Otros libros que te pueden interesar

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  Life Lessons from a Parasite -...

  John Janovy Jr.

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  The answers to life's biggest questions can be found by looking at the little things . . . 
   
   
   
  Though you may not be able to see them with the naked eye, parasites—miniscule life forms that live inside other organisms—inhabit our everyday lives. From headlice to bird droppings, litterboxes to unfiltered water, you have brushed up against the most common way of life on our planet. 
   
   
   
  In this unique book, John Janovy Jr., one of the world's preeminent experts on parasites, reveals what can humans learn from the most reviled yet misunderstood animals on Earth: lice, tapeworms, flukes, and maggots that can eat a lizard from the inside, and how these lessons help us negotiate our own complicated world. Whether we're learning to adapt to adverse conditions, accept our own limitations, or process new information in an ever-changing landscape—we can be sure a parasite did it first. 
   
    
   
  At once peculiar and profound, Life Lessons from a Parasite makes a case for using knowledge of the natural world, with all its wonderful mysteries and quirks, to tackle our worst problems.

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  The Art of AI Business Analyst &...

  Tom Henricksen

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  The AI revolution is transforming the business landscape. **Business Analysts who embrace AI will gain a significant competitive advantage. This concise ebook equips you with the essential knowledge to thrive in this new era, covering:Machine Learning: How algorithms learn from data to make predictions.Deep Learning: The power of neural networks and their diverse applications.Generative AI: The exciting world of AI that creates new content.Large Language Models: The foundation of many AI applications.Prompt Engineering: The art of effectively interacting with AI models. Download now and gain the knowledge you need to succeed in the AI-powered future.

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  Unveiling the Inner Workings of...

  Vines Graener

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  Google's work culture has gained legendary status, earning both admiration and satire. Setting aside the mythology, Schmidt and Rosenberg attribute Google's success to its founders, Larry Page and Sergey Brin, who created an environment attracting top-tier talent. 
  The company employs a rigorous hiring process to select exceptional candidates, seeking brilliance and well-rounded individuals. From executives to entry-level, everyone works in shared office spaces, fostering collaboration across roles and disciplines. Alongside the famed Google perks like pool tables and well-stocked kitchens, these amenities aim to encourage diverse interactions that spark collaboration and creative thinking. 
  Google's management structure is designed to facilitate the free-flowing expansion of ideas, resembling a web more than a pyramid. Emphasizing minimal hierarchy and bureaucratic procedures, employees are encouraged to take action and challenge ideas constructively. Every employee publicly lists personal objectives and key results to clarify goals and priorities.  
  Failure is viewed as a learning opportunity, promoting a proactive approach. 
  This management style leads to spontaneous and successful results.  
  For instance, when irrelevant ads surfaced on a Google search, Page addressed the issue promptly without calling a meeting. This approach allowed a group of engineers to devise a solution over the weekend, demonstrating the company's agility and responsiveness.

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  Deep Learning Guide for...

  SAM CAMPBELL

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  In an era where artificial intelligence is reshaping industries and unlocking new possibilities, understanding the fundamentals is crucial. "Deep Learning" serves as your comprehensive companion, unraveling the intricacies of neural networks from the ground up. 
  Discover the essence of machine learning, the evolution of artificial intelligence, and delve into the core of neural networks. Guided by practical examples and hands-on exercises, you'll learn to set up your environment, write code in Python, and grasp the essentials of popular frameworks like TensorFlow and PyTorch. 
  From the anatomy of a neuron to advanced architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), this book demystifies the terminology and empowers you to build and train your own models. Real-world applications in image classification and natural language processing bring theory to life, demonstrating how deep learning transforms raw data into intelligent predictions. 
  Data is the fuel that powers deep learning, and "Deep Learning Demystified" equips you with the skills to preprocess and augment data effectively. Navigate the intricacies of loss functions, optimizers, and regularization techniques, ensuring your models are not just accurate but resilient. 
  As you progress, the book explores the ethical considerations in AI, current challenges, and emerging trends. Dive into case studies showcasing the transformative impact of deep learning across diverse industries, and access a wealth of resources to deepen your knowledge. 
  "Deep Learning " is not just a guide; it's an invitation to participate in the revolution of artificial intelligence. Are you ready to unlock the secrets of deep learning? The journey begins here. 
   

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  BLEED - Destroying Myths and...

  Tracey Lindeman

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  Have you ever been told that your pain is imaginary? That feeling better just takes yoga, CBD oil, and the blood of a unicorn on a full moon? That's the reality of the more than 190 million people suffering the excruciating condition known as endometriosis. This disease affecting one in ten cis women and uncounted numbers of others is chronically overlooked, underfunded, and misunderstood—and improperly treated across the medical system. Discrimination and medical gaslighting are rife in endo care, often leaving patients worse off. 
   
   
   
  Journalist Tracey Lindeman knows it all too well. Decades of suffering from endometriosis propelled the creation of BLEED—part memoir, part investigative journalism, and all scathing indictment of how the medical system fails patients. Through extensive interviews and research, BLEED tracks the modern endo experience to the origins of medicine and how the system gained its power by marginalizing women. Using an intersectional lens, BLEED dives into how the system perpetuates misogyny, racism, classism, ageism, transphobia, fatphobia, and other prejudices to this day. 
   
   
   
  BLEED isn't a self-help book. It's an evidence file and an eye-opening, enraging book. It will validate those who have been gaslit, mistreated, or ignored by medicine and spur listeners to fight for nothing short of revolution.

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  On IVF

  Stephanie Gray Connors

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  In vitro fertilization (IVF)—the conceiving of new human beings in a laboratory—has become a widespread and international industry affecting millions upon millions of people. By some estimates, over eight million children in the US have been born as a result of this technology since 1978. But is it ethical to create human beings by science and not by sex? Is IVF inherently good or inherently evil? Or, perhaps, is it something that is sometimes right and other times wrong, depending on the circumstances? In this timely volume in Word on Fire’s Dignity Series, Stephanie Gray Connors engages both the mind and the heart in answering these increasingly urgent questions. Looking at the morality of IVF and the stories of people who have either embraced or refused it, On IVF will draw readers into the profound suffering of infertility and miscarriage, the difficulties and dangers of IVF, and the hope-filled alternatives that honor the dignity of human beings—both born and preborn.

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