Outros livros que poderiam interessá-lo

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  Dermatology - Skin Diseases and...

  Ava Westwood

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  Dermatology is a specialized branch of medicine that focuses on the diagnosis, treatment, and prevention of skin, hair, and nail disorders. It plays a crucial role in maintaining overall health, as the skin is the body’s largest organ and serves as a protective barrier against environmental factors. Dermatologists are trained to treat a wide variety of conditions, ranging from common skin issues like acne and eczema to life-threatening diseases such as melanoma. 
  The importance of skin health cannot be overstated. Skin diseases can affect an individual’s quality of life, often causing physical discomfort, emotional distress, and social stigma. Early detection and treatment are vital to prevent complications and improve outcomes. Dermatology is not only about managing diseases but also about enhancing cosmetic appearance and improving skin function, contributing to patients' self-esteem and overall well-being. 
  Skin functions as the first line of defense against external factors such as bacteria, viruses, pollutants, and harmful UV radiation. It also plays a role in regulating body temperature, preventing dehydration, and producing vitamin D. Understanding the skin’s structure and functions is fundamental to diagnosing and treating dermatologic conditions. The skin is composed of three primary layers: the epidermis, dermis, and subcutaneous tissue. The epidermis serves as the outermost layer, providing a waterproof barrier and containing melanocytes responsible for skin pigmentation. Beneath it lies the dermis, which houses blood vessels, hair follicles, sweat glands, and nerve endings, playing a crucial role in sensation and temperature regulation. The deepest layer, the subcutaneous tissue, contains fat and connective tissue that insulate and protect internal organs.

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  Graph Data Science with Python...

  Timothy Eastridge

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  Practical approaches to leveraging graph data science to solve real-world challenges.
  Book Description
  Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills to tackle real-world challenges. You'll explore cutting-edge integrations with Large Language Models (LLMs) like ChatGPT to build advanced recommendation systems. With intuitive frameworks and interconnected data strategies, you'll elevate your analytical prowess. This book offers a straightforward approach to mastering graph data science. With detailed explanations, real-world examples, and a dedicated GitHub repository filled with code examples, this book is an indispensable resource for anyone seeking to enhance their data practices with graph technology. Join us on this transformative journey across various industries, and unlock new, actionable insights from your data. ?
  Table of Contents
  1. Introduction to Graph Data Science
  2. Getting Started with Python and Neo4j
  3. Import Data into the Neo4j Graph Database
  4. Cypher Query Language
  5. Visualizing Graph Networks
  6. Enriching Neo4j Data with ChatGPT
  7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG)
  8. Graph Algorithms in Neo4j
  9. Recommendation Engines Using Embeddings
  10. Fraud Detection      
  CLOSING SUMMARY      The Future of Graph Data Science      
  Index

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  The Back Story on Spine Care - A...

  Dr. Drew Bednar

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  “A tour de force of spine care from a master spine surgeon who has literally seen it all over the course of a four-decade career! This book is a must-read that is accessible to both the layperson and healthcare professionals. I found it both enjoyable and informative.” — Dr. Andrew J. Schoenfeld, Harvard Medical School professor and Spine editor in chief
  		 
  A practical and occasionally provocative look at the state of spinal surgical care
  		 
  Just a few decades ago most spine surgery was literally a gamble: maybe you’d get better and maybe you wouldn’t. Today we have the knowledge, understanding, and technology to predictably relieve pain and neurological deficits like never before — yet many patients are still getting subpar care.  
  		 
  Foundational knowledge of surgical spine care isn’t spreading to the medical community, let alone to patients, whose quality of life hangs in the balance. With The Back Story on Spine Care, orthopedic specialist Dr. Drew Bednar presents case studies that illuminate the common issues plaguing patients — and their treatment — today.
  		 
  Back problems are among the most common health issues, and with Dr. Bednar’s insights, knowledge, and practical tips, medical professionals can provide care that leads to healthier backs and happier lives.

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  A Guide to Data Science and...

  Juniper Blake

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  "A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications" is a thorough resource for aspiring and seasoned data scientists, analysts, and business professionals who wish to harness the power of data in their work. This book explores the complex field of data science and provides a straightforward road map for navigating the frequently confusing world of data analytics. 
  The handbook, designed with a wide readership in mind, starts with fundamental ideas to ensure that readers understand data science fundamentals and the significance of data-driven decision-making in contemporary businesses. It covers a broad range of subjects, including advanced methods in data modeling and machine learning, as well as data gathering and cleaning. The book gives readers in-depth explanations of essential tools and technologies, including popular machine learning frameworks, R, Python, and SQL, so that they can apply workable solutions in their projects. 
  The book highlights the significance of comprehending the business context and using analytical insights to solve practical challenges in addition to technical skills. Case studies from various industries show how businesses use data to drive efficiency and creativity, illuminating the practical applications of data science. 
  The guide also examines ethical issues and best practices in data management to guarantee that practitioners use data responsibly and transparently. "A Guide to Data Science and Analytics" provides readers with a valuable manual for navigating the intricacies of the data flood by balancing theory, real-world examples, and ethical norms. That enables readers to turn data into actionable insights and strategic advantage.

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  The Road to Your First Million

  Anônimo

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  The Road to Your First Million 
  From a trailer park in North Carolina to becoming a self-made millionaire—this is the story of how changing your mindset can change your life. 
  In The Road to Your First Million, entrepreneur and motivational speaker shares a deeply personal journey filled with struggle, growth, and the pursuit of purpose. This book isn't just about making money—it's about unlocking your potential, building a life on your own terms, and redefining what success means to you. 
  Whether you're just starting out or feeling stuck, this book will help you: 
  Shift your mindset for long-term success 
  Find your purpose beyond money 
  Push past fear, doubt, and limitation 
  Build a future you truly love 
  You don’t have to have it all figured out—just be willing to start.

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  Cognitive Computing -...

  Brian Murray

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  Cognitive Computing: Revolutionizing Problem-Solving and Decision-Making through Artificial Intelligence is a cutting-edge exploration of the latest developments in AI and how they are transforming the way we solve problems and make decisions. 
  Throughout the book, the author uses clear and concise language to explain complex concepts and theories, making this an ideal resource for students, researchers, and professionals in a wide range of fields, from finance and healthcare to education and government. 
  Topics covered include:The basics of cognitive computing, including neural networks, deep learning, and reinforcement learningThe different approaches to implementing cognitive computing, including expert systems, chatbots, and autonomous vehiclesThe most important applications of cognitive computing in various fields, including healthcare, finance, education, and governmentThe ethical and societal implications of cognitive computing, including issues around privacy, bias, and job displacementThe future of cognitive computing and its potential impact on society and the economy. 
  Whether you're a student, a researcher, or a professional looking to stay up-to-date with the latest developments in AI, Cognitive Computing: Revolutionizing Problem-Solving and Decision-Making through Artificial Intelligence is the ultimate guide to the transformative potential of cognitive computing for the modern world. 
   

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