Outros livros que poderiam interessá-lo

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  Is the Algorithm Plotting...

  Kenneth Wenger

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  Artificial intelligence is everywhere—it’s in our houses and phones and cars. AI makes decisions about what we should buy, watch, and read, and it won’t be long before AI’s in our hospitals, combing through our records. Maybe soon it will even be deciding who’s innocent, and who goes to jail . . .But most of us don’t understand how AI works. We hardly know what it is.In "Is the Algorithm Plotting Against Us?", AI expert Kenneth Wenger deftly explains the complexity at AI’s heart, demonstrating its potential and exposing its shortfalls. Wenger empowers readers to answer the question—What exactly is AI?—at a time when its hold on tech, society, and our imagination is only getting stronger.

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  CCRN Success - "Elevate your...

  Alden Fincher

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  Unlock Success: Thorough Review and Practice Tests 
  Are you ready to advance your career and reinforce your knowledge by successfully navigating the Unlock Success Exam for 2025? 
  Searching for a comprehensive resource that encompasses everything you need to ace the Unlock Success Exam for 2025? 
  Your quest ends here! 
  This guide is your ultimate tool for enhancing your comprehension, applying your skills, and engaging in practical exercises. With this resource, you're set for success. 
  Updated for the Unlock Success Exam Structure 2025. 
  Key Highlights of This Enhanced Guide: 
  - In-depth insights into the Unlock Success Exam Certification for 2025 
  - Thorough explanations of essential concepts 
  - Effective strategies for exam preparation and execution 
  This guide stands out with its extensive coverage, crucial for your success on the exam. Concepts are explored in detail, ensuring you gain a solid understanding. 
  Please remember that this guide operates independently and is not affiliated with any official exam entity, offering only the best support for your journey. 
  Crafted with a clear organization and straightforward language, our guide guarantees seamless transitions between topics. Wave goodbye to complex jargon and embrace content that is clear, concise, and technically sound. 
  What are you waiting for? Click the BUY NOW button to secure your guide and embark on your path to triumph in the Unlock Success Exam for 2025!

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  Mastering AI Game Development...

  Hrishikesh Andurlekar

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  Elevate your Unreal Engine skills with This Essential Guide to AI-Driven Game Development!
  Book Description
  In the rapidly evolving world of game development, integrating Artificial Intelligence (AI) into your Unreal Engine projects is no longer optional—it’s essential. Mastering AI for Unreal Engine is your definitive guide to unlocking the transformative power of AI, propelling your games beyond the ordinary and into the realm of cutting-edge, immersive experiences. 
  Through a step-by-step approach, you will explore a wide range of AI techniques, including pathfinding, behavior trees, perception systems, and the powerful Environment Query System (EQS). Each chapter delves into the theoretical underpinnings of these AI components, followed by hands-on exercises and real-world examples that demonstrate their integration within Unreal Engine. We will learn to create intelligent, dynamic, and engaging game experiences by leveraging the power of AI. 
  What sets this book apart is its deep dive into emerging AI frameworks like the Mass Framework, giving you a strategic edge in adopting the latest trends and technologies that are shaping the future of gaming. You’ll learn how to optimize your AI systems, enhance performance, and master debugging techniques critical for smooth, efficient development processes. 
  Mastering AI for Unreal Engine doesn’t just teach you AI—it empowers you to innovate, create intelligent game worlds, and stand out in the fiercely competitive game development landscape. 
  Table of Contents
  
  1. Introduction to Unreal Engine
  2. Unreal Blueprints
  3. Understanding AI in Games
  4. Navigation and Pathfinding
  5. Behavior Trees and Blackboards
  6. AI Perception
  7. StateTree
  8. Environment Query System
  9. SmartObjects
  10. Debugging AI in Unreal Engine
  11. Mass Framework and Future Trends in GameAI   
  Index

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  Outline of Science Vol 1 The (Solo)

  J. Arthur Thomson

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  In The Outline of Science, Thomson gives us a window into scientific thinking as it stood in 1922 on the big, the little, and the biological. With straightforward language intended for a general audience, this book covers astronomy from the Solar System to the Milky Way, the submicroscopic makeup of matter from protons and electrons, and the evolution of simple living beings into the varied fauna of the world today. Thomson cites many examples that would have been familiar to his readers of the day and notes where scientific understanding leaves off and conjecture begins. He clearly shows how the accumulation of observation and experiment stacked up to form the body of knowledge reported in the book. For even the scientifically well-versed, there will be interesting nuggets, for investigation into how the world came to be as it was, was both wide and deep.  
   
   To a modern listener, what was not known may be as interesting as what was. With the 100-inch Mt. Wilson reflector the largest telescope in the world, the existence of galaxies outside the Milky Way was suspected but not confirmed. Neutrons, soon to become important in the field of nuclear energy and atomic bombs, were as yet unguessed-at, yet the prospect of liberating the immense energy of the atom was already a keen interest. Although the famous Michaelson-Morley experiment had already been seen as disproof of an all-pervading "ether" which facilitated the flow of energy across empty space, scientists still retained ether as a place-holder for properties they could measure but not explain - an approach very similar to the "dark matter" of modern cosmology. 
   
   Regardless of your personal sentiments on Darwin's theory of evolution, Thomson provides well-chosen examples that illustrate why this theory arose. He examines not only the fossil record but the evidences present in modern living beings that the process of evolution is by no means finished, but ongoing.  
   
   Even at that time, Thomson worried over the future of energy sources. He contemplated the exhaustion of the coal fields and indeed, the eventual exhaustion of all usable energy in the universe, foreshadowing our concept of entropy.  
   
   This book has been consistently among the "Top 100 E-Books" published by Project Gutenberg.  
  Summary by Mark F. Smith.

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  Computer Programming with R -...

  Brian Murray

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  "Computer Programming with R: Comprehensive Introduction to Data Analysis and Visualization with R Programming Language" is a comprehensive guide to learning the R programming language for data analysis and visualization. R is a popular open-source programming language used in data science, statistical analysis, and machine learning. 
  This book provides a detailed overview of the R programming language, including its syntax, data structures, and functions. It covers various topics such as data types, data wrangling, data visualization, statistical analysis, and machine learning, with a focus on practical applications. 
  The book also includes a step-by-step guide to using popular R packages, such as ggplot2, dplyr, and tidyr, to create visualizations and manipulate data. Additionally, it covers advanced topics such as text mining, web scraping, and time series analysis. 
  Furthermore, the book includes numerous real-world examples and case studies that demonstrate how R can be used to solve complex data problems. It also provides tips and best practices for efficient coding and reproducibility. 
  Whether you are a beginner or an experienced programmer, "Computer Programming with R" is an essential guide for mastering the art of data analysis and visualization with the R programming language. With this book, you will gain the skills and knowledge necessary to analyze and visualize data, and create sophisticated data-driven solutions to real-world problems. 
  "Computer Programming with R: Comprehensive Introduction to Data Analysis and Visualization with R Programming Language" is a must-have resource for anyone interested in using R for data analysis and visualization, whether for academic research or industry applications.

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  Oil And Gas Drilling Guide

  HowExpert, Miguel Ferraz

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  If you want to learn about oil drilling as a beginner, then check out this book! 
  How to drill an oil and gas well from A to Z, or in a shorter form from one to seven. 
  The first step is to determine what type of rock we will be drilling. The second step is to refine this preliminary well configuration by determining the exact dimensions required of casing strings. Afterwards, the third stage is to select the appropriate bits, bottom hole assembly (BHA), and drillstring for each hole section. 
  The fourth step is a big one, selecting a rig, which goes hand in hand with the abovementioned characteristics of drilling a well. Eventually, we get a shortlist and go to the market to close the best fit for purpose rig contract. The fifth step is the huge logistics framework that surrounds a drilling operation to ensure it goes smoothly and most important of all, for safety to prevail. The sixth step is to plug and abandon the well. Gladly, strict regulations have been put in place to ensure industry best practices are always followed. 
  Last but not least, the seventh step encompasses all of the previous six, which is to assess and mitigate the environmental impact of all the operations. Safety is, from the beginning until the end of oil and gas drilling, the number-one priority. 
  HowExpert publishes quick 'how to' guides on all topics from A to Z by everyday experts.

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