Weitere Bücher, die Sie mögen werden

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  100 Great Scientists Who Changed...

  John Balchin

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  'If I saw further than others it is because I was standing on the shoulders of giants.' 
  - Sir Isaac Newton 
   
  This audiobook introduces 100 of these giants of scientific discovery: the men and women who, often in the face of extreme skepticism or worse, have striven and succeeded in pushing back the boundaries of human knowledge. Ranging across the spectrum of scientific endeavor, from the cosmology of Copernicus and Galileo, to the medical revolutions of Hippocrates and Galen, it includes the fields of physics, biology, chemistry and genetics. 
   
  Spanning from the ancient world to the 20th century, these figures include:AristotleLeonardo di VinciBenjamin FranklinIsaac NewtonStephen Hawking 
   
  100 Great Scientists Who Changed the World provides riveting insight into the men and women who shaped the world today.

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  The Shocking Truth about...

  Zoey Fraisers

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  Historically, technological disruptions have always been met with fear and skepticism, from the Industrial Revolution to the advent of the internet. Just as mechanized farming displaced manual labor, and the web transformed commerce, AI’s presence is beginning to impact every field imaginable. However, unlike previous innovations, AI doesn’t just replace repetitive or physical tasks; it extends to cognitive functions as well. This makes the effects of AI’s integration into the workplace even more striking. Professions that once seemed immune to automation—such as law, medicine, and education—are now seeing AI-driven tools that assist or even replace human decision-making. 
  The speed at which AI is changing the workforce is staggering. The rapid adoption of AI technologies has created both opportunities and challenges. While many industries have embraced AI to enhance efficiency, reduce costs, and drive innovation, others are grappling with the consequences of job displacement. The automation of manual labor, for instance, has led to job losses in sectors like manufacturing and logistics, as machines now perform tasks faster and more accurately than humans ever could. 
  Yet, the story is not entirely one of doom and gloom. AI is also fostering job creation. As businesses implement AI technologies, new industries are emerging, and jobs that didn’t exist before are becoming critical. Roles in AI development, ethics, data analysis, and cybersecurity are growing rapidly. Additionally, AI is creating hybrid jobs where workers must leverage both human creativity and machine intelligence to drive innovation.

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  The NFT handbook for beginners -...

  Marco Zucchetti

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  what are NFT and how do they work? how do i safely invest in NFT? is it safe to buy NFT? 
  The world of crypto is very confusing and difficult to understand, especially if you are new to the industry. 
  It can be hard to tell which coins are the most successful, what the differences between coins and tokens are, or how to use them once they're created. 
  NFTs have many benefits and use cases, but without a clear understanding of how they work and how to navigate this new world it's hard for people to realize the potential NFTs can offer. 
  NFTs aren't just for gaming anymore! In this handbook we give you all the information you need about NFTs so that you can create your own tokens and sell them for profit!

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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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  Silicon Empires - The Fight for...

  Nick Srnicek

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  Since the emergence of ChatGPT, generative AI has been heralded as a technology poised to revolutionize our world. But beyond the hype and hyperbole, who truly wields power over this transformative technology?In Silicon Empires, Nick Srnicek explores the geopolitical economy of artificial intelligence, revealing how a handful of powerful corporations and states are engaged in a monumental struggle to control its future. Srnicek moves beyond the headlines to lay bare the elaborate strategies that these silicon empires—from tech giants to great powers—are deploying to capture the immense value of AI.This incisive analysis uncovers the deep-seated tensions between corporate ambitions and national interests, and the profound consequences of this new era of technological competition. As the race for AI supremacy accelerates, Srnicek compellingly demonstrates that the decisions being made in the boardrooms of Silicon Valley and the halls of government will shape the distribution of wealth and power on a global scale for decades to come.This book is essential listening for anyone who wants to understand the critical battle for the future of AI.

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  Mastering Test-Driven...

  Ravi Gupta

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  React and TDD: Craft Reliable, High-Quality Apps from Scratch!
  Book Description
  Test-Driven Development (TDD) is an essential practice for creating reliable, bug-free React applications. By focusing on writing tests before code, TDD ensures that your application is not only functional but also scalable and maintainable.
  "Mastering Test-Driven Development with React" is your comprehensive guide to learning and mastering Test-Driven Development (TDD) in React applications. You'll discover how to write tests before implementing code, helping you build reliable, maintainable React apps with confidence. By integrating TDD into your development process, you'll improve code quality, catch bugs early, and create more stable applications.
  With practical, hands-on examples, you'll explore how to use popular tools like Jest, Mocha, and React Testing Library. You’ll dive into testing React components, hooks, API interactions, and managing state with Redux, all while learning techniques that you can apply to real-world projects.
  Whether you're a beginner or an experienced developer, this book will help you enhance your testing practices and build higher-quality React applications. You'll gain the tools and knowledge needed to seamlessly incorporate automated testing into your workflow, ensuring your React projects are robust, scalable, and easier to maintain.
  Table of Contents
  1. Getting Started with TDD
  2. Understanding the Testing Basics
  3. The Road Ahead and Preparation
  4. Testing with ReactJS
  5. Users and Login Module
  6. Project Module
  7. Task Module
  8. Integrating Testing into the Development Process
  9. The Opening Note      
  
  Index

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