D'autres livres qui pourraient vous intéresser

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  I Will Teach You to be Smart -...

  Hank Clark

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  Most people still equate smart with test scores and trivia recall. This book flips that script: real intelligence is practical, flexible, and learnable at any age. You will explore why neuroplasticity keeps your brain open for continual upgrades, how hidden cognitive biases distort every choice, and what separates problem solvers who thrive in chaos from those who stall. 
  Drawing on current research and sharpened by real world case studies, the pages show you how to unlearn stale assumptions, think with precision, and install habits that compound like interest. The payoff is the ability to spot patterns faster, process information with surgical clarity, and act decisively when the clock is ticking. 
  Each chapter ends with a challenge that turns insight into practice, forging a feedback loop that strengthens your mind day after day. The result is a durable skill set: accelerated learning, maverick problem solving, influential communication, and emotional agility. 
  If you are done with theory, slogans, and recycled study hacks, this is the blueprint for genuine mental advantage. There are no shortcuts or silver bullets, only proven tools to build the kind of intelligence the modern world quietly rewards. 
  Read it, apply it, and watch what happens when your brain finally runs at full capacity.

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  Progress - Is a Precious Stone

  Mike Blake

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  Progress : Is a Precious Stone. 
  Something the world seeks, just as much as Gold, or precious gems. 
  With progress, there's no going backwards only forwards, but you can look back at the progress you've made. 
  This is a short, no nonsense poem that gets to the heart of what it wants to say, and points the way :)  
  It leads to the future, from the depths of the past.

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  Python Machine Learning for...

  Jim D Johnston

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  Step into the exciting world of artificial intelligence and data science with a practical guide designed for complete beginners. 
  Python Machine Learning for Beginners introduces readers to the fundamental concepts of machine learning using Python, the world's most popular programming language for AI and data-driven applications. Written in a clear and accessible style, this book helps beginners understand how machines learn from data, make predictions, recognize patterns, and solve real-world problems. 
  From basic programming concepts to building your first machine learning models, this comprehensive guide provides a strong foundation for anyone looking to start a career in artificial intelligence, data science, or software development. 
  Inside, you will discover:The fundamentals of Python programming for machine learningCore concepts of artificial intelligence, data science, and machine learningUnderstanding data collection, preparation, and preprocessingExploratory data analysis and data visualization techniquesSupervised and unsupervised learning algorithmsBuilding predictive models with PythonIntroduction to neural networks and deep learningWorking with popular libraries such as NumPy, Pandas, Matplotlib, and Scikit-learnEvaluating and improving machine learning model performanceReal-world applications in business, healthcare, finance, marketing, and automation 
  With practical examples, hands-on exercises, and real-world projects, Python Machine Learning for Beginners provides the knowledge, skills, and confidence needed to begin your journey into one of the fastest-growing fields in technology today.

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  Maya - The Biography of a Tiger

  Anant Sonawane

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  FOREWORD BY SACHIN TENDULKAR 
  The intimate story of a tigress who became a national icon 
  In November 2023, Maya—one of the most beloved tigresses of Maharashtra's Tadoba-Andhari reserve—vanished without a trace. Her disappearance made national headlines, and those who had followed her life at Tadoba for years were left stunned and full of concern for what might have become of her. 
  Yet Maya's legend had been years in the making. Born in 2010 and orphaned early, she grew into a tigress of striking composure. She hunted in the open, carried her kills past idling jeeps and often paused before cameras as if aware of the attention she drew from admiring humans. Her calm around people, hold over a vast and contested territory and fierce care for her cubs pushed Maya's story far beyond Tadoba's forest roads. 
  In this deeply observed account, Anant Sonawane retraces that life—from Maya's precarious beginnings to her rise as a matriarch who moved with quiet assurance under constant human watch. Clear-eyed and deeply attentive, Maya offers an intimate portrait of a wild tiger seen up close, yet never reduced to distortion or myth.

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  Neural Networks for Beginners -...

  Simon Winston

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  Are you fascinated by the astounding capabilities of artificial intelligence (AI) and its impact on our lives? Do you want to unravel the mysteries behind neural networks and understand how they power some of the most advanced technologies? Look no further, as "Neural Networks for Beginners" is here to guide you on an exciting journey into the world of AI. 
  In this beginner's guide, you will embark on a captivating exploration of neural networks—an essential component of AI. Written in a clear and accessible manner, this book aims to demystify the complex concepts and algorithms behind neural networks, making them comprehensible to anyone with a basic understanding of mathematics and programming. 
  Step by step, you will dive into the fundamental building blocks of neural networks, beginning with the basics of artificial intelligence and machine learning. You will learn about the biological inspiration behind neural networks and how they emulate the workings of the human brain. With each chapter, you will gain a deeper understanding of neural network architecture, activation functions, training algorithms, and the mathematics that underpin them. 
  By the end of this book, you will have a solid foundation in neural networks and be prepared to take your AI knowledge to the next level. Are you ready to unlock the secrets of neural networks and embark on an extraordinary adventure into the world of AI? Let "Neural Networks for Beginners" be your guide. Get your copy today and unleash the power of AI! 
   

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  Data Ethics and Privacy -...

  Simon Winston

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  In our rapidly digitizing world, where data is the lifeblood of innovation and decision-making, ethical considerations and the protection of privacy have become paramount. "Data Ethics and Privacy" is your compass through the intricate landscape of ethical data practices, offering profound insights and guidance in an era where data is both the challenge and the solution. 
  This thought-provoking and timely book dives deep into the heart of data ethics and privacy, shedding light on the complex ethical dilemmas arising from the collection, analysis, and use of personal and organizational data. It explores the intricate balance between the immense benefits that data-driven technologies bring and the ethical responsibilities that come with them. 
  "Data Ethics and Privacy" doesn't just dissect the dilemmas; it also explores practical solutions and best practices. It delves into case studies that illuminate the real-world impact of ethical choices in sectors like healthcare, finance, and artificial intelligence. It empowers organizations and individuals with the tools to make responsible data-driven decisions. 
  As we venture deeper into the digital age, "Data Ethics and Privacy" is a clarion call for responsible data stewardship. It challenges us to think critically about the choices we make with data and to prioritize privacy and ethics in a world increasingly reliant on data-driven solutions. Whether you're a data scientist, a business leader, a policymaker, or a concerned citizen, this book is your guide to a more ethical and privacy-respecting digital future. 
  Join us on a transformative journey to understand the vital role of data ethics and privacy in the digital age. "Data Ethics and Privacy" is your passport to navigating the complexities of ethical data practices and ensuring that, in the era of data, we maintain our ethical compass. 
   

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