Altri libri che potrebbero interessarti

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  The Landscapes of Science and...

  Hannah Waite, Nick Spencer

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  The relationship between science and religion has long been a heated debate and is becoming an ever more popular topic. The scientific capacity to manipulate and change humans and their environment through genetic engineering, life extension, and AI is going to take a huge leap forward in the twenty-first century, provoking endless debates around humans "playing God." 
   
   
   
  But what do we mean by this? Asking this question is surprisingly hard work. Attempts to "essentialize" science, let alone religion, quickly run into trouble. Where are the boundaries? Whose definition of science is definitive? Which concept of religious is the authoritative one? 
   
   
   
  Ultimately, neither "science" nor "religion" can be pinned down to one single meaning or definition. Rather, they encompass a family of definitions that relate to one another in a complex web of shifting ways. Drawing on extensive research with over a hundred leading thinkers in the UK—including Martin Rees, Brian Cox, Susan Greenfield, A. C. Grayling, Ray Tallis, Linda Woodhead, Steve Bruce, Adam Rutherford, Robin Dunbar, Francesca Stavrakopoulou, and Iain McGilchrist—The Landscapes of Science and Religion takes the much-needed step of asking what science and religion actually are, before turning to the familiar question of how they relate to one another.

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  The Lost Family - How DNA...

  Libby Copeland

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  “A fascinating exploration of the mysteries ignited by DNA genealogy testing—from the intensely personal and concrete to the existential and unsolvable.” —Tana French, New York Times–bestselling author  
   
  You swab your cheek or spit in a vial, then send it away to a lab somewhere. Weeks later you get a report that might tell you where your ancestors came from or if you carry certain genetic risks. Or, the report could reveal a long-buried family secret that upends your entire sense of identity. Soon a lark becomes an obsession, a relentless drive to find answers to questions at the core of your being, like “Who am I?” and “Where did I come from?” Welcome to the age of home genetic testing. 
   
  In The Lost Family, journalist Libby Copeland investigates what happens when we embark on a vast social experiment with little understanding of the ramifications. She explores the culture of genealogy buffs, the science of DNA, and the business of companies like Ancestry and 23andMe, all while tracing the story of one woman, her unusual results, and a relentless methodical drive for answers that becomes a thoroughly modern genetic detective story. Gripping and masterfully told, The Lost Family is a spectacular book on a big, timely subject. 
   
  “An urgently necessary, powerful book that addresses one of the most complex social and bioethical issues of our time.” —Dani Shapiro, New York Times–bestselling author 
   
  “Before you spit in that vial, read this book.” —The New York Times Book Review 
   
  “Impeccably researched . . . up-to-the-minute science meets the philosophy of identity in a poignant, engaging debut.” —Kirkus Reviews (starred review)

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  Exploratory Data Analysis -...

  Daniel Garfield

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  In the age of data-driven decision-making, the ability to extract meaningful insights from raw data is a superpower. "Exploratory Data Analysis: Uncovering Insights from Your Data" is your compass on a journey through the intricate and illuminating world of EDA, where data transforms into a treasure trove of knowledge. 
  This comprehensive guide is designed to demystify the art and science of Exploratory Data Analysis (EDA) for beginners and experts alike. EDA is the crucial first step in data analysis, where raw data is transformed into a clear and comprehensive understanding of its underlying structure and patterns. 
  Authors [Author Names], experts in data analysis, lead you through the process of EDA with clarity and depth. You'll learn how to explore data visually, detect outliers, understand distributions, and reveal hidden correlations. With hands-on examples and practical insights, you'll gain the skills and confidence to turn complex data sets into actionable knowledge. 
  But this book is more than just a technical manual. It's a roadmap to harness the true power of data. EDA is not just about statistics; it's about telling compelling data-driven stories. You'll discover how to communicate your findings effectively, transforming numbers and charts into compelling narratives that drive informed decisions. 
  "Exploratory Data Analysis" is an indispensable tool for professionals in a wide range of fields, including business, finance, healthcare, and social sciences. It equips you to navigate the vast sea of data and uncover the hidden gems within. Whether you're a data scientist, analyst, or simply someone curious about the world of data, this book will be your trusty companion in unlocking the secrets your data holds.

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  Coding Languages: 3 Books In 1 -...

  Richie Miller

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  If you want to discover how to use Angular, Python for Machine Learning or React JavaScript, this book is for you! 
  3 BOOKS IN 1 BUNDLE! 
  BOOK 1: ANGULAR FRAMEWORK ESSENTIALS - OPEN SOURCE WEB APP DEVELOPMENT USING ANGULAR & TYPESCRIPT 
  BOOK 2: PYTHON MACHINE LEARNING - ALGORITHM DESIGN & PRACTICAL CODE EXECUTION 
  BOOK 3: REACT JAVASCRIPT VULNERABILITIES - CONSTRUCTING SECURE REACTJS CODE 
    
  GET THIS BOOK NOW AND START PROGRAMMING TODAY!

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  The One-Person Empire - Building...

  David Brennan

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  This audiobook is narrated by an AI Voice. Stop Selling Your Time. Start Selling "Digital Workers." 
  Are you watching the AI revolution from the sidelines, wondering how to turn the "gold rush" into actual cash? 
   
  The days of the traditional Social Media Marketing Agency (SMMA) are fading. The new wave is here: the AI Automation Agency (AAA). Businesses are desperate to cut costs and automate workflows, but they don't know how. That is where you come in. 
   
  You don't need to be a coding genius or a Python developer to build a six-figure agency. You just need the right blueprint to connect the tools that already exist. 
   
  In this comprehensive guide, you will discover the exact roadmap to launching, scaling, and automating your own agency from scratch. 
  This isn't theoretical fluff about "the future of AI"—this is a tactical playbook for building bots, selling them for thousands, and generating recurring monthly revenue. 
   
  Here is just a fraction of what you will learn: 
   
  The "No-Code" Stack: How to master tools like ChatGPT, RedditViral, Make.com, Zapier, Notion, and Voiceflow to build complex automations in minutes. 
  The Irresistible Offer: How to package "invisible" AI services into high-ticket products that businesses are happy to pay for. 
  Client Acquisition 2.0: Forget cold calling. Learn how to use AI lead scrapers to fill your calendar with qualified buyers. 
  The "Digital Employee" Model: How to build Customer Support Chatbots and Lead Gen Agents that work 24/7 for your clients. 
  Pricing Psychology: Why charging by the hour kills your business (and how to charge for value instead). 
  The market is wide open, but the window of opportunity won't stay open forever. Be the architect of the future, not just a participant.

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  Reinforcement Learning -...

  Simon Winston

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  In a world where machines are constantly pushing the boundaries of human capabilities, one field stands out as a beacon of innovation: Reinforcement Learning (RL). In "Reinforcement Learning: Amplifying AI - Shattering Boundaries with Reinforcement Learning," embark on an exhilarating journey into the heart of AI's next frontier. 
  Unveiling the inner workings of reinforcement learning, this book is your guide to understanding and harnessing the power of intelligent agents that learn to make decisions through trial and error. From the foundational concepts of agents, environments, and rewards to advanced algorithms like Q-learning, deep Q-networks, and policy gradients, you'll uncover the strategies that machines use to optimize their own performance. 
  Dive into the world of dynamic programming, explore Monte Carlo methods, and delve into the intricacies of temporal difference learning. Discover how these algorithms enable machines to not only learn from their experiences but also to predict and adapt to the outcomes of their actions. Witness the fusion of reinforcement learning and neural networks, creating potent combinations capable of conquering complex tasks. 
  But this book doesn't just stop at theory. It provides hands-on insights into implementing reinforcement learning algorithms, equipping you with the tools to transform abstract concepts into practical solutions. Explore exploration strategies that balance learning from the familiar with the excitement of the unknown. Understand the challenges of transferring knowledge across tasks and the emerging frontiers of multi-task learning and hierarchical approaches. 
  Join us on this transformative expedition into the realm of Reinforcement Learning, and discover how it amplifies AI's capabilities, shattering boundaries along the way. Your journey to empower machines with intelligent decision-making starts here. 
   

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