Otros libros que te pueden interesar

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  Rhinophyma - Understanding...

  Lilly Richardsen

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  Rhinophyma is a chronic and progressive skin condition that primarily affects the nose, causing it to become enlarged, red, and bulbous. Often associated with rosacea, rhinophyma is more commonly seen in individuals with a history of this inflammatory skin disorder. While rosacea presents as a facial rash with redness and visible blood vessels, rhinophyma is characterized by thickening of the skin, resulting in a noticeably distorted and often disfigured appearance of the nose. This condition, though not life-threatening, can significantly impact a person’s self-esteem and social interactions, as it alters their physical appearance and may carry social stigmas. 
  Historically, rhinophyma was misunderstood and even ridiculed in various cultures, with little regard for its medical implications. In the past, it was often associated with excessive alcohol consumption, as the condition was more commonly seen in individuals who exhibited symptoms of rosacea, a disorder that sometimes coincided with alcoholism. This led to misconceptions about the causes and nature of rhinophyma, further complicating its recognition and treatment. Today, however, medical research has brought a more thorough understanding of rhinophyma, emphasizing its underlying causes and the role of rosacea in its development. 
  The exact cause of rhinophyma remains uncertain, but it is believed to be the result of a combination of genetic, environmental, and lifestyle factors. While rhinophyma is more common in individuals with a family history of rosacea, other factors such as skin irritation, exposure to extreme temperatures, and sun damage may also contribute to its onset. Hormonal changes, particularly during periods of increased testosterone, may also play a significant role in the development of this condition, which is why it is more common in middle-aged and older men than in women.

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  Navigating the Complexities of...

  MD FAAN Louis R. Caplan

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  Navigating the Complexities of Stroke provides a practical guide for the lay public and medical professionals. Dr. Louis R. Caplan, one of the world's leading experts, guides listeners through the subject in a straightforward and accessible manner. He turns to the mechanics of the stroke itself, discussing the complexities of the two major kinds and the resulting damage. Caplan offers information and advice that listeners will find useful: the medical conditions and other factors that create risk, stroke symptoms, abnormalities that doctors look for, tests available to evaluate strokes, complications and disabilities that can result, and the paths of treatment and rehabilitation. He offers real-life cases of victims and their families that demonstrate successful recovery, but also reveal the sometimes troubling impact of strokes on survivors and their families, who can suffer frustration and demoralization that the medical profession often overlooks in its biological focus. Caplan also examines strokes in children and young adults, who are often neglected in literature that is largely aimed at seniors. 
   
   
   
  Navigating the Complexities of Stroke empowers victims, families, and general medical providers. It puts in listeners' hands the knowledge necessary to avoid strokes, address them quickly, and recover, so they won't lose heart when it is needed most.

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  Big Data for Beginners -...

  Brian Murray

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  In "Big Data for Beginners: Applications of Data - An Introduction to Real-Time Data Processing and Machine Learning for Data Analysis," readers will explore the cutting-edge applications of Big Data and learn how it is being used to drive innovation and solve complex problems in real-time. 
  The book begins by examining the role of Big Data in real-time data processing and explores the various technologies and platforms used to manage and analyze data in real-time. Readers will gain an understanding of how data is processed and analyzed in real-time, and how this capability is driving new opportunities for businesses and organizations. 
  The book also explores the exciting field of machine learning and its application in data analysis. Readers will learn about the various types of machine learning algorithms and how they can be used to uncover patterns and insights in large datasets. They will also gain practical guidance on how to design and implement machine learning models for different use cases, such as predictive analytics and natural language processing. 
  Throughout the book, real-world examples and case studies are used to illustrate key concepts and demonstrate how Big Data and machine learning are being used in a variety of industries and applications. Whether you're a data scientist, software engineer, or business leader looking to stay ahead of the curve in the rapidly-evolving world of Big Data, "Big Data for Beginners: Applications of Data" is an essential resource. With this book, readers will gain the knowledge and skills they need to harness the power of Big Data and machine learning to drive innovation and create value in their organizations. 
   

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  Law of Attraction - A Simple 30...

  Simon Michael

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  The Secret opened the world to the power of positive thinking. Now, the Law of Attraction will guide you through every step toward getting the life you've always desired - and deserved. 
  Everyone wants to live a life full of meaning, purpose, and success. Yet, you clutter your mind with limiting thoughts of can't do this, can't do that, it's too high, too far, too greater to achieve. 
  Divided into two sections, Subliminal Affirmations and Laws of Attraction guide, this audiobook will show that your subconscious is the most powerful tool to help alter your life in a positive manner. Negative thoughts are like weeds that grow all the time without any nurturing since it's in human nature to think of negative consequences. 
  Law of Attraction shows listeners how to:Attract their ideal mate and ideal relationshipsIncrease wealth and abundanceImprove their business with more customers, clients, and referralsDiscover their ideal job, true calling, or careerAnd more! 
  Think positive, be confident, and change your life now by taking action and downloading this audiobook. Don't be a pessimist and navigate away. You can't achieve any success if your mindset is constantly plagued by negativity. 
  Download this audiobook and improve your life!

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  Interpretability and...

  Aruna Chakkirala

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  Demystify AI Decisions and Master Interpretability and Explainability Today
  Book Description
  Interpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust.
  Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models.
  You’ll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you’ll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals—powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems.
  Through hands-on Python examples, you’ll learn how to apply these techniques in real-world scenarios. By the end, you’ll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards—giving you a competitive edge in the evolving AI landscape.
  Table of Contents
  1. Interpreting Interpretable Machine Learning
  2. Model Types and Interpretability Techniques
  3. Interpretability Taxonomy and Techniques
  4. Feature Effects Analysis with Plots
  5. Post-Hoc Methods
  6. Anchors and Counterfactuals
  7. Interpretability in Neural Networks
  8. Explainable Neural Networks
  9. Explainability in Transformers and Large Language Models
  10. Explainability and Responsible AI      
  
  Index

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  Asynchronous Programming -...

  May Sherry

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  In the rapidly evolving world of software development, mastering asynchronous programming is essential for building high-performance, scalable systems. "Asynchronous Programming: Advanced Techniques, Patterns, and Best Practices for High-Performance Systems" offers an in-depth exploration of the tools, methodologies, and best practices that empower developers to harness the full potential of asynchronous programming. 
  This comprehensive guide is designed for experienced developers and software architects who want to deepen their understanding of asynchronous programming paradigms. It covers a broad spectrum of topics, including the evolution of asynchronous programming, the introduction of async and await keywords, and the integration of advanced techniques and patterns to optimize system performance. 
  "Asynchronous Programming: Advanced Techniques, Patterns, and Best Practices for High-Performance Systems" is an indispensable resource for professionals who aim to build cutting-edge applications that meet the demands of today’s fast-paced, data-driven world. With its blend of theoretical knowledge and practical insights, this book equips you with the skills needed to excel in the realm of asynchronous programming and develop high-performance, scalable systems. Whether you're enhancing existing applications or embarking on new projects, this guide will help you achieve your goals with confidence and precision. 
   

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