Otros libros que te pueden interesar

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  Options Trading Crash Course For...

  Will Weiser

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  If you want to discover how to become a thriving Options trader, this book is for you!  
  BUY THIS BOOK NOW AND GET STARTED TODAY! 
  This book will take you to the next level! 
  In this book you will discover: 
  HOW TO TRADE OPTIONS USING COVERED CALLS 
  OPTIONS STRATEGY ON HOW TO BUY LONG CALLS 
  HOW TO TRADE BULL PUT OPTIONS SPREADS / SHORT PUT VERTICALS 
  HOW TO TRADE OPTION CALLS AND PUTS 
  CALL VS PUT OPTIONS TRADING BASICS 
  OPTIONS TRADING STRATEGIES FOR HIGHER RETURNS & LOWER RISK 
  TRADING PSYCHOLOGY & HOW TO HANDLE FOMO 
  OPTION GREEKS FOR BEGINNERS 
  HOW TO TRADE OPTIONS IN A BEAR MARKET 
  VERTICAL SPREAD CONCEPTS OPTIONS TRADERS MUST KNOW 
  BUYING VS OPTIONS RISK/REWARD PROBABILITIES 
  OPTIONS TRADING USING TIME 
  HOW TO GET THE BREAKEVEN PRICE FOR ANY OPTIONS STRATEGY 
  WHAT ARE LEAPS IN OPTIONS TRADING 
  CREDIT SPREAD OPTIONS TRADING STRATEGIES 
  WHY OPTIONS ARE RARELY EXERCISED 
  HOW TO BUY OPTIONS WITH LESS DECAY          
    
  BUY THIS BOOK NOW AND GET STARTED TODAY!

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  The Ozempic Revolution - A...

  Alexandra Sowa

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  The first comprehensive user guide to GLP-1s (such as Ozempic, Wegovy, and Zepbound) with an overview of how they work and possible side effects. Also including companion recipes, exercise guidance, and new habits to maintain lifelong health and keep weight off for good. 
  The newest class of weight loss drugs (GLP-1s) are complete game-changers in their potential to reverse obesity and its related diseases, with nearly 50% of Americans qualifying for the use of these drugs. Already 1 in 8 Americans say they’ve tried a GLP-1 medication—but with many acquiring their prescription from online pharmacies, med spas, and general practitioners, they face a huge gap between trying the drug and achieving their health goals with it long-term. 
  That’s where The Ozempic Revolution comes in. Alexandra Sowa, MD, a leading obesity medicine specialist, shares her expertise on this much-discussed but largely misunderstood class of medica­tions, including information like:What the GLP-1 experience really feels likeHow to know if you’re a candidate for these medicationsHow to get a prescription and get it covered by insuranceHow to manage and reduce unwanted side effectsUnique food plans and strategies for managing the mental challenges of losing weightSimple, easy recipes for when you don’t feel like eating 
  Traditional and social media has been flooded with junk information and stigmatizing headlines about GLP-1s, and in this book, Dr. Sowa digs into all of it—the good, the bad, and the ugly—bringing the science to light. 
  If you’re curious about how GLP-1s might fit into your life, or want to optimize your experience while taking them, then Dr. Sowa’s clear-eyed, fully informed approach is a must-read. The Ozempic revolution changes everything: these drugs finally provide a viable, healthy, and sane way to lose weight, avoid disease, and maintain your health gains for life. 
  Supplemental enhancement PDF accompanies the audiobook.

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  The Perricone Prescription - A...

  Anónimo

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  The groundbreaking, scientifically based anti-aging program for people of all ages 
  Many people believe that sags, bags, and wrinkles—on the face and body—are inevitable. According to award-winning research scientist and dermatologist Nicholas Perricone, M.D., they are due to inflammation at the cellular level caused by poor nutrition, pollution, sunlight, irritating skin care treatments, and stress. In fact, this type of inflammation is more than a beauty problem; it can lead to increased likelihood of heart disease, cancer, diabetes, and arthritis.  
   Now you can prevent—and even reverse—many signs of aging, producing visible improvement in the skin, and in your body’s overall health and appearance. Step by step, Dr. Perricone shows you how to improve your health, looks, and well-being, providing:  
  • A three-day “jump start” diet that will give you immediate results 
  • The 28-day Perricone Program of meals, exercise, and skin care 
  • A complete resource guide 
  • And much more!

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  Summary: Determined - A Science...

  Brooks Bryant

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  DISCLAIMER: THIS IS NOT THE OFFICIAL BOOK. 
  This is a summary, and it does not accompany the official 
  'Determined: A Science of Life Without Free Will' by Robert M. Sapolsky is a profound exploration of the concept of free will in human behavior. Building on his previous work in "Behave," which delved into the reasons behind good and bad human actions, Sapolsky advances the idea that the nature-nurture interplay significantly dictates our behavior, challenging the notion of a distinct self that controls our biology. 
  The book synthesizes a current understanding of consciousness, blending aspects of reason, emotion, and responses to stimuli across one's lifetime. Sapolsky methodically debunks major free will arguments, traversing through chaos and complexity science, quantum physics, and philosophical concepts. He illustrates how historical medical perspectives, like viewing seizures as demonic possession, have evolved to a more understanding stance that reduces personal blame. 
  Sapolsky also examines the implications of life without free will in the realms of punishment, morality, and societal living. Contrary to fears of anarchy and existential despair, he argues that acknowledging the absence of free will could lead to a more compassionate and humane world where judgment and self-criticism are less prevalent. 'Determined' presents a challenging yet enlightening perspective on human behavior, urging a reevaluation of how we perceive actions and responsibility.

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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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  Resident Evil

  Philip J Reed

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  Now a sprawling video game franchise, Resident Evil has kept us on the edge of our seats for decades with its tried-and-true brand of jump scares, zombie action, and biological horror. But even decades after its release, we can't stop revisiting the original's thrills, chills, and sometimes unintentional spills. 
   
    
   
  Pop culture writer and horror cinephile Philip J Reed takes dead aim at 1996's Resident Evil, the game that named and defined the genre we now call "survival horror." While examining Resident Evil's influences from the worlds of film, literature, and video games alike, Reed's love letter to horror examines how the game's groundbreaking design and its atmospheric fixed-cam cinematography work to thrill and terrify players—and why that terror may even be good for you. 
   
   
   
  Featuring a foreword from Troma Entertainment legend Lloyd Kaufman and new interviews with the game's voice actors and its live-action cast, the book serves as the master of unlocking the behind-the-scenes secrets of Resident Evil, and shows how even a game filled with the most laughable dialogue can still scare the pants off of you.

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