Otros libros que te pueden interesar

• 

  ChatGPT talks on science for...

  Paulo Dario

  • 0
  • 0
  • 0

  This book follows a series of "conversations" with these tools, mainly with "chatGPT 4.0" but also with "Bard". It's well known that chatGPT is hampered in its research up to a certain point in time and, because they are language modeling tools, they end up inventing... a lot, especially in bibliographic references. However, accessory tools are emerging that make it possible to improve and even correct this situation, tools that will certainly become much more powerful in the future, but which are already a reality. So, using all these AI tools, a book has been created that aims to be a pedagogical tool that answers a series of questions that can be asked by secondary and higher education students, or even people who are just interested in these issues, but who don't have the access or predisposition to use these types of AI tools.

  Ver libro

• 

  Global Burning - Rising...

  Eve Darian-Smith

  • 0
  • 0
  • 0

  Recent years have seen out of control wildfires rage across remote Brazilian rainforests, densely populated California coastlines, and major cities in Australia. What connects these separate events is more than immediate devastation and human loss of life. In Global Burning, Eve Darian-Smith contends that using fire as a symbolic and literal thread connecting different places around the world allows us to better understand the parallel, and related, trends of the growth of authoritarian politics and climate crises and their interconnected global consequences. 
   
   
   
  As political leaders and big business work together in the pursuit of profits and power, anti-environmentalism has become an essential political tool enabling the rise of extreme right governments and energizing their populist supporters. These are the governments that deny climate science, reject environmental protection laws, and foster exclusionary worldviews that exacerbate climate injustice. 
   
   
   
  The widespread fires demand acknowledgment of the global systems of inequality that undergird them, connecting the political erosion of liberal democracy with the corrosion of the environment. In thinking through wildfires as environmental and political phenomenon, Global Burning challenges listeners to confront the interlocking powers that are ensuring our future ecological collapse.

  Ver libro

• 

  Data-Intensive Applications -...

  James Ferry

  • 0
  • 0
  • 0

  In an era dominated by big data, mastering the art of building and maintaining data-intensive applications is crucial for any technology professional. "Mastering Data-Intensive Applications: Design, Scale, and Optimization" is a comprehensive guide that delves into the architectures, technologies, and practices essential for handling massive datasets efficiently and reliably. 
  This book begins by defining what makes an application data-intensive and explores the key challenges such as scalability, reliability, efficiency, and maintainability. Readers will learn about various storage options—from traditional relational databases to innovative NoSQL solutions—and understand when and how to use them effectively. The discussion extends to data distribution techniques, including partitioning and replication, essential for building fault-tolerant systems that can scale. 
  Further chapters focus on the nuts and bolts of data-intensive operations, including indexing, search, caching, batch and stream processing, and data integration. Each topic is covered with clear explanations, practical examples, and real-world case studies to demonstrate the application of these technologies in today’s leading companies. 
  Security and compliance are not overlooked; the book provides a thorough overview of the necessary practices to keep data secure and applications compliant with global regulations. Additionally, readers are equipped with strategies for scalability and performance tuning, helping them to improve existing systems and build efficient new systems from the ground up. 
  "Mastering Data-Intensive Applications" is an invaluable resource for software engineers, system architects, data scientists, and IT managers. Whether you are looking to deepen your existing knowledge or venturing into the field of data-intensive applications for the first time, this book offers the insights and tools needed to excel in this dynamic field. 
   

  Ver libro

• 

  R Programming - R Data...

  Andy Vickler

  • 0
  • 0
  • 0

  This book is like a friend who advises and guides you on how to use the ggplot2 package for making data visualizations. With this book, you will learn how to get started with data visualization in R. You will learn basic concepts of graphics, and you will also learn how to perform statistical analyses. 
  This book is for everyone who faces a difficult task when trying to make data visualizations using R. It is also for people who are interested in learning more about statistics and graphical techniques. 
  The book also teaches listeners how to get started with ggplot2, and it also introduces the basics of R so that listeners are aware of the basic commands and functions in R, as well as importing libraries. 
  R has transformed the way statistical modeling approaches are applied, and has become a tool which is commonly used by analysts, programmers and visual artists alike. Its ease of use and flexibility make it an invaluable tool for working with large amounts of data. This book provides you with a comprehensive guide to how R can be used for data visualization. You'll learn how to use the statistical modeling and graphics packages in R, as well as gain an understanding of the principles behind both traditional and modern data visualization techniques. 
  Think of R as a programming language that provides access to the power of machine learning and statistical computing. It's software used by statisticians and data scientists, with its capabilities in statistics, data visualization, machine learning, and more.

  Ver libro

• 

  The New World on Mars - What We...

  Robert Zubrin

  • 0
  • 0
  • 0

  When Robert Zubrin published his classic book The Case for Mars a quarter century ago, setting foot on the Red Planet seemed a fantasy. Today, manned exploration is certain, and as Zubrin affirms in The New World on Mars, so too is colonization. 
   
   
   
  We will settle on Mars, and with our knowledge of the planet, analyzed in depth by Dr. Zubrin, we will utilize the resources and tackle the challenges that await us. What we will we build? Populous Martian city-states producing air, water, food, power, and more. Zubrin's Martian economy will pay for necessary imports and generate income from varied enterprises, such as real estate sales—homes that are airtight and protect against cosmic space radiation, with fish-farm aquariums positioned overhead, letting in sunlight and blocking cosmic rays while providing fascinating views. Zubrin even predicts the Red Planet customs, social relations, and government that will overcome traditional forms of oppression to draw Earth immigrants. 
   
    
   
  With all of this in place, Zubrin's Red Planet will become a pressure cooker for invention, benefiting humans on Earth, Mars, and beyond. We can create this magnificent future, making life better, less fatalistic. The New World on Mars proves that there is no point killing each other over provinces and limited resources when, together, we can create planets.

  Ver libro

• 

  Data Analysis for Beginners -...

  Daniel Garfield

  • 0
  • 0
  • 0

  Embark on a transformative journey into the world of data analysis with Daniel Garfield as your guide in "Data Analysis for Beginners." In this comprehensive and accessible guide, Daniel demystifies the complexities of data analysis, making it an engaging and empowering experience for readers at all skill levels. 
  Have you ever wondered how data can drive decision-making in business, science, or everyday life? Daniel begins by introducing the fundamental concepts of data analysis, breaking down the barriers that often intimidate beginners. From the basics of statistical analysis to the application of machine learning, Daniel ensures that every reader can grasp the essentials. 
  Discover the tools of the trade, from familiar ones like Excel to more powerful platforms like Python and R. Learn the art of collecting and organizing data, recognizing the importance of clean and structured datasets. Through hands-on examples, Daniel walks you through the steps of setting up your data environment, empowering you to tackle your own data challenges. 
  Uncover the power of exploratory data analysis (EDA) as you dive into the world of data visualization, identifying patterns and trends that lie hidden in your datasets. Daniel emphasizes practical applications, providing insights into how businesses leverage machine learning and guiding you through the process of building your first data analysis project. 
  "Data Analysis for Beginners" is your key to unlocking the secrets hidden within the numbers. With Daniel Garfield as your mentor, embark on a journey that will transform the way you see and interpret data. Start your data analysis adventure today!

  Ver libro