Altri libri che potrebbero interessarti

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  Data Analysis for Beginners -...

  Brian Murray

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  Data Analysis for Beginners: The ABCs of Data Analysis is the perfect starting point for anyone eager to dive into the world of data analysis but unsure where to begin. This easy-to-understand guide takes the mystery out of data analysis, breaking down complex concepts into simple, digestible steps that anyone can follow. 
  Designed with beginners in mind, this book provides a solid foundation in the key principles and tools needed to analyze data effectively. From understanding the types of data and basic statistical concepts to learning how to clean, visualize, and interpret datasets, Data Analysis for Beginners equips you with the skills to make data-driven decisions with confidence. 
  With clear explanations, practical examples, and helpful illustrations, this book guides you through the essential stages of data analysis, including:Understanding data types and structuresMastering basic statistical methodsCleaning and organizing data for analysisUsing data visualization tools to uncover insightsInterpreting results and making informed decisions 
  Ideal for aspiring data analysts, business owners, or anyone looking to enhance their data literacy, this book provides a hands-on approach to learning that will give you the confidence to tackle real-world data analysis challenges. By the end of the book, you’ll have a strong grasp of fundamental data analysis concepts, setting you on the path to becoming a skilled data analyst in no time.

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  Claude Code Agent Teams for...

  Michael Patterson

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  This audiobook is narrated by an AI Voice. Most professionals use tools like Claude or ChatGPT as advanced search engines, asking one question and getting one answer. Meanwhile, a small group of entrepreneurs and business leaders is quietly deploying AI agent teams that research, analyze, write, and execute complex projects automatically, delivering results that rival expensive consultants at a fraction of the cost. 
   
  Claude Code Agent Teams for Beginners reveals exactly how to build these sophisticated AI workflows using Claude Opus 4.6, without writing a single line of code. AI engineer Michael Patterson, who leads 120+ engineers at a major tech company, shares the production-tested patterns he uses to orchestrate multiple AI agents that work together like a specialized human team. 
   
  What You'll Master: 
   
  Transform from single-prompt interactions to coordinating entire AI workforces. Learn to design research and writing teams that produce publication-ready content, implement quality control systems with critic and editor agents, deploy parallel processing workflows that analyze dozens of competitors simultaneously, create hierarchical agent structures for complex project management, and automate business operations, including email triage, customer support, and report generation. 
   
  No Technical Skills Required: 
   
  Every technique uses natural language prompts and browser-based platforms. Advanced users will find integration strategies with automation tools, while beginners can achieve remarkable results with only Claude.ai. The 30-day implementation plan takes you from complete novice to confident practitioner with progressive skill-building exercises.

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  Velociraptor The: The History of...

  Editors Charles River

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  The massively popular 1990 novel Jurassic Park by Michael Crichton and its subsequent movie adaptations led to a huge resurgence in interest in dinosaurs and the prehistoric world. That interest continues to the present day, even though most of the dinosaurs in Jurassic Park weren’t actually from the Jurassic period. Triceratops, Velociraptor, Tyrannosaurus Rex and the huge sauropods such as Brachiosaurus that feature in the book and movies all actually belong to the Late Cretaceous period, more than 40 million years after the end of the Jurassic. Regardless, the movie made certain kinds of dinosaurs instantly recognizable, even if associated with the wrong era. 
  	Thanks to the movie, there has been some unwitting confusion over the identity of the Velociraptor, and this confusion was due in large part to the fact the name sounds far more scary than the creature to which the name originally belonged. Moreover, the creature to which the label was applied in the novel and movie was actually a distant cousin named Deinonychus, but as the story goes, the author, Michael Crichton, thought “Velociraptor” sounded “more dramatic.” The actual Velociraptor lived not in the badlands of North America, but in the badlands of central-eastern Asia, and it was not nearly as intimidating as Deinonychus. In fact, the main species of genus Velociraptor - Velociraptor mongoliensis - was no bigger than a turkey. Thus, in a very real sense, the Velociraptor has taken on a larger-than-life reputation.

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  Infinity of Worlds An - Cosmic...

  Will Kinney

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  In the beginning was the Big Bang: an unimaginably hot fire almost fourteen billion years ago in which the first elements were forged. The physical theory of the hot nascent universe—the Big Bang—was one of the most consequential developments in twentieth-century science. And yet it leaves many questions unanswered: Why is the universe so big? Why is it so old? What is the origin of structure in the cosmos? In An Infinity of Worlds, physicist Will Kinney explains a more recent theory that may hold the answers to these questions and even explain the ultimate origins of the universe: cosmic inflation, before the primordial fire of the Big Bang. 
   
   
    
  Kinney argues that cosmic inflation is a transformational idea in cosmology, changing our picture of the basic structure of the cosmos and raising unavoidable questions about what we mean by a scientific theory. He explains that inflation is a remarkable unification of inner space and outer space, in which the physics of the very large (the cosmos) meets the physics of the very small (elementary particles and fields), closing in a full circle at the first moment of time. 
   
    
    
  Kinney considers the consequences of eternal cosmic inflation. Can we come to terms with the possibility that our entire observable universe is one of infinitely many, forever hidden from our view?

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  Unwilded - Finding Our Way Back...

  Alastair Humphreys

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  Alastair Humphreys explores how our shift from lives immersed in nature to repetitive indoor routines has harmed our wellbeing, sense of connection and, in turn, the planet. It shows how we can quietly begin to restore what we have lost by going outside and paying attention to the wild beauty around us.
  
  Humans used to be embedded in the natural world, but today many of us live sedentary screen-based lives indoors, treating nature as something distant - to be watched on television or reached by flying elsewhere. 
  
  In Unwilded, Alastair Humphreys examines the consequences of this disconnection and how it shapes our wellbeing, childhood, education, diets, lifestyles and the liveability of towns. On a wider scale, it explains why the climate and ecological emergencies feel abstract and beyond our individual responsibility.
  
  At the heart of the book is shifting baseline syndrome: from the felling of the Sycamore Gap tree to the extinction of possibly the most abundant bird species in history, it is the quiet process by which each generation accepts a depleted world as normal. 
  
  Unwilded argues that change need not begin with grand gestures. It can begin with spending just fifteen minutes outdoors, paying attention. From nothing comes understanding, care and responsibility - and the beginning of rewilding ourselves and the world.

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  Applied AI and Machine Learning...

  Alan Murray

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  Applied AI and Machine Learning for Beginners is a comprehensive guide designed to introduce readers to the exciting world of artificial intelligence and machine learning. Whether you're a student, professional, or curious enthusiast, this book offers a clear, step-by-step approach to understanding and applying AI and machine learning concepts, even if you have no prior experience in the field. 
  Starting with the basics, the book covers the essential theories behind AI and machine learning, breaking down complex concepts into easy-to-understand language. You'll explore popular algorithms, data preparation techniques, and tools such as Python, TensorFlow, and Scikit-learn, all with hands-on examples to build your confidence. 
  In addition to theory, this book emphasizes real-world application. Through practical projects and tutorials, you’ll learn how to work with datasets, build models, and solve problems using AI and machine learning techniques. You’ll also discover how these technologies are transforming industries such as healthcare, finance, and automation. 
  By the end of this book, you'll have a solid foundation in AI and machine learning and the practical skills needed to start building your own models. Whether you're aiming to pursue a career in this growing field or simply want to understand how AI and ML are shaping the future, Applied AI and Machine Learning for Beginners is the perfect starting point.

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