Otros libros que te pueden interesar

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  urban Geography and Land Use -...

  Lyric Vale

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  Cities are fundamentally exercises in spatial organization—complex arrangements of human activity, physical infrastructure, and natural systems that collectively define how metropolitan regions function, evolve, and adapt. The geographic logic of urban environments—how different uses are distributed, how resources are allocated, and how communities develop within specific physical contexts—represents one of the most profound expressions of human social organization and values. This comprehensive exploration delves into the intricate domains of Urban Geography, Urban Land Use, and Community Development—examining how spatial patterns emerge, how they reflect deeper social and economic forces, and how they ultimately shape the lived experiences of urban inhabitants. 
  The narrative of urban spatial organization is far more than a technical study of land allocation; it encompasses the dynamic interactions between physical geography, economic systems, social forces, and political decisions that collectively determine the form and function of our cities. By examining the complex mechanisms that drive urban spatial development—from market dynamics and zoning regulations to community activism and cultural preferences—this book illuminates how cities represent physical manifestations of our collective choices, priorities, and power structures. Readers will journey through diverse urban landscapes—from the historic patterns of concentric development to the fragmented geographies of postindustrial cities and the emerging forms of sustainable urbanism—while exploring how community development initiatives seek to reshape urban spaces to better serve human needs.

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  Acne - Symptoms Treatments and...

  Joseph Barrel

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  Acne. For millions of individuals around the world, it's more than just a word; it's an unwelcome companion that has the power to affect not only the appearance of one's skin but also their self-esteem, confidence, and overall quality of life. Acne is a common skin condition that transcends age, gender, and ethnicity, impacting adolescents in the throes of puberty, adults navigating the challenges of daily life, and even those who believed they had left it behind in their teenage years. 
  In this comprehensive guide, we embark on a journey to demystify acne—the blemish that has confounded and frustrated generations. Whether you're a teenager navigating the tumultuous sea of adolescence, an adult grappling with unexpected outbreaks, or a parent seeking answers for your child, this book is your compass to understanding, managing, and ultimately conquering acne. 
  Our mission is clear: to equip you with knowledge, tools, and strategies that empower you to take control of your skin's destiny. Together, we will explore the intricacies of this skin condition, from its origins deep within hair follicles to the emotional toll it can exact. We will dispel common myths, explore effective treatments, and delve into the lifestyle factors that play a pivotal role in acne management. By the end of this journey, you will possess the insights and resources necessary to face acne head-on and pave your own path to clear, radiant skin. 
  Acne is not just a skin issue; it's a deeply personal experience that can affect your self-image, relationships, and mental well-being. As we embark on this exploration, remember that you are not alone in your struggle, and there is hope for clearer, healthier skin. The journey begins here, and we invite you to join us as we unmask the mysteries of acne and discover the path to a more confident, blemish-free you.

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  Ultimate Neural Network...

  Vishal Rajput

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  Master Neural Networks for Building Modern AI Systems.?Book DescriptionThis book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.Throughout the chapters, readers are engaged with the book through practice exercises and supplementary learning. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding.This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry.Table of Contents1. Understanding AI History2. Setting up Python Workflow for AI Development3. Python Libraries for Data Scientists4. Foundational Concepts for Effective Neural Network Training5. Dimensionality Reduction, Unsupervised Learning and Optimizations6. Building Deep Neural Networks from Scratch7. Derivatives, Backpropagation, and Optimizers8. Understanding Convolution and CNN Architectures9. Understanding the Basics of TensorFlow and Keras10. Building End-to-end Image Segmentation Pipeline11. Latest Advancements in AI      Index

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  African Artificial Intelligence...

  Mark Nasila

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  Artificial intelligence (AI) is upending life, work, and play as we know it, and it's only just getting started. The rise of AI is a milestone on par with the discovery of fire, the invention of the wheel, and the creation of the internet. In short, AI is going to change everything. For some, that's an exciting prospect. For others, it's terrifying. However you feel about AI, there's no escaping it, whether you're in a global metropolis or a farmer in rural KwaZulu-Natal.
  Dr Mark Nasila has been watching AI's ascent for over a decade, studying its effects on everything from agriculture and aviation to healthcare, education, entertainment, crime prevention, energy management, policy creation, finance, and anything in between, and applying them to his role at one of South Africa's most successful financial institutions, First National Bank, a division of FirstRand Group.
  African Artificial Intelligence is a comprehensive and fascinating journey, tracing the rise of AI and its evolution into the emerging technology underpinning all others – from connected devices and smart chatbots to the metaverse. Mark combines unexpected use cases and tales of cutting-edge innovation with a unique and potent argument: harnessing AI to solve Africa's problems requires embracing it from an African perspective.
  African nations can't afford to simply import AI solutions from afar. Instead, Mark contends, they need to rework, remix, and refine AI so it's able to meet uniquely African challenges in uniquely African ways, and to take advantage of the once-in-a-generation opportunity AI represents for every industry, sector, and person, everywhere.

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  That's All I Have To Say For Now

  Ronald Franklin Saia

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  Ronald Franklin Saia was born a grandson to an Italian from Sutera, Sicily. Growing up in rural Kansas gave Ronald a deep feeling in his soul for the outdoors. His appreciation for Creation has influenced his verbiage and style.

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  Python Machine Learning for...

  Alexa Campbell

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  Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step. 
  Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning gradually improves its accuracy, eventually providing the optimal results for the problem it has been assigned to. 
  It is one of the most important parts of data science and, as big data continues to expand, so too will the need for machine learning and AI. 
  Here's what you will learn in this quick guide to machine learning with Python for beginners:What machine learning isWhy Python is the best computer programming language for machine learningThe different types of machine learningHow linear regression worksThe different types of classificationHow to use SVMs (Support Vector Machines) with Scikit-LearnHow Decision Trees work with ClassificationHow K-Nearest Neighbors worksHow to find patterns in data with unsupervised learning algorithms 
  You will also find plenty of code examples to help you understand how everything works. 
  If you are ready to take your programming further, scroll up, click Buy Now, and find out why machine learning is the next logical step.

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