Otros libros que te pueden interesar

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  Mastering Computer Vision with...

  M. Arshad Siddiqui

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  Unleashing the Power of Computer Vision with PyTorch 2.0.
  Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges.
  Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready.
  Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision.
  Table of Contents1. Diving into PyTorch 2.02. PyTorch Basics3. Transitioning from PyTorch 1.x to PyTorch 2.04. Venturing into Artificial Neural Networks5. Diving Deep into Convolutional Neural Networks (CNNs)6. Data Augmentation and Preprocessing for Vision Tasks7. Exploring Transfer Learning with PyTorch8. Advanced Image Classification Models9. Object Detection Models10. Tips and Tricks to Improve Model Performance11. Efficient Training with PyTorch Lightning12. Model Deployment and Production-Ready Considerations       Index

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  Data Science and Big Data - Data...

  Liam Morgan

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  With the help of our extensive book, "Data Science and Big Data: Data Science and Big Data Analytics- Unlocking the Power of Information," explore the revolutionary field of data science and big data analytics. Enter the world of data-driven insights, where enormous amounts of information are used to drive innovation, change industries, and advance society. 
  Data is the new currency in a digital world that is changing quickly. Our book deeply explores the dynamic fields of big data analytics and data science, elucidating the challenges associated with knowledge extraction from massive datasets. We cover everything, from comprehending data formats and types to investigating cutting-edge technology. This book provides a thorough overview of data science and how to use big data, whether you're a seasoned professional or an interested beginner. 
  Imagine yourself becoming proficient in identifying underlying trends, making wise choices, and helping to bring about ground-breaking discoveries. You'll learn about the newest methods, resources, and best practices, enabling you to prosper in the data-driven age with "Data Science and Big Data: Data Science and Big Data Analytics- Unlocking the Power of Information." Imagine using data to fuel innovation, transform industries, and effect significant change. 
  Take advantage of the chance to utilize big data analytics and data science fully. The book "Data Science and Big Data: Data Science and Big Data Analytics- Unlocking the Power of Information" will provide you with the skills and self-assurance you need to set out on an adventure filled with discovery, creativity, and lifetime learning. With this book, you can unlock the mysteries and opportunities that data science and big data analytics bring, whether your goal is to further your career, stay ahead in a competitive marketplace, or satisfy your curiosity.

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  Human-Computer Interaction -...

  Craig Dames

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  Human-Computer Interaction (HCI) is a multidisciplinary field that focuses on the design and use of computer technology, particularly the interfaces through which humans interact with computers. As technology has evolved, so too has the interaction between users and machines, and understanding this relationship is crucial for creating systems that are not only functional but also intuitive and user-friendly. At the heart of HCI is the goal of improving the interaction between users and computers to ensure usability, efficiency, and satisfaction. 
  The concept of HCI emerged as computing technology became more widely accessible and user-centric design became a necessity. Early computers were primarily operated by specialists, and the interface was often limited to text-based inputs and outputs. However, as computers evolved to serve a broader audience, the need for more sophisticated and user-friendly systems became clear. This led to the development of graphical user interfaces (GUIs), which are now commonplace in many computing environments, making interaction with technology more intuitive and visually engaging. 
  HCI as a field draws from various disciplines such as computer science, psychology, design, and ergonomics. The key principles in HCI are centered on understanding how users interact with technology, what their needs and preferences are, and how technology can be designed to meet those needs. At the same time, it focuses on the efficiency, effectiveness, and satisfaction that the interaction can provide. This involves studying human cognition, behavior, and the way people process information to ensure that systems are designed in ways that align with natural human capabilities.

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  Supermassive Black Hole - A...

  Steff Jaywan

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  A black hole is a region in space where the gravitational pull is so strong that nothing, not even light, can escape from it. This occurs when a massive amount of matter is compressed into a very small area, creating a powerful gravitational field. 
  Black holes form through various processes that involve the collapse of massive astronomical objects and the merging of smaller black holes. One primary method is the stellar collapse. Stars, during their lifecycle, fuse hydrogen into helium in their cores. When the hydrogen is depleted, they begin fusing heavier elements until iron is produced. For stars more than 20 times the mass of the Sun, the end of this fusion process leads to a supernova explosion. The core of the star collapses rapidly due to gravity, and if the core's mass is sufficiently large (typically more than about three times the mass of the Sun), it will continue collapsing into a singularity, forming a stellar-mass black hole. 
    
  Another way black holes can form is through accretion and growth. A compact object like a neutron star or a white dwarf can accumulate matter from a companion star or its surroundings. As this matter accumulates, the mass of the compact object increases, and it may eventually reach a critical mass where it collapses into a black hole.

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  Geometry - A Very Short...

  Maciej Dunajski

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  The study of geometry is at least 2500 years old, and it is within this field that the concept of mathematical proof—deductive reasoning from a set of axioms—first arose. To this day geometry remains a very active area of research in mathematics. 
   
   
   
  This Very Short Introduction covers the areas of mathematics falling under geometry, starting with topics such as Euclidean and non-Euclidean geometries, and ranging to curved spaces, projective geometry in Renaissance art, and geometry of space-time inside a black hole. Starting from the basics, Maciej Dunajski proceeds from concrete examples (of mathematical objects like Platonic solids, or theorems like the Pythagorean theorem) to general principles. Throughout, he outlines the role geometry plays in the broader context of science and art.

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  Singularity Rising - Surviving...

  James D. Miller

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  In Ray Kurzweil's New York Times bestseller The Singularity is Near, the futurist and entrepreneur describes the Singularity, a likely future utterly different than anything we can imagine. The Singularity is triggered by the tremendous growth of human and computing intelligence that is an almost inevitable outcome of Moore's Law. Since the book's publication, the coming of the Singularity is now eagerly anticipated by many of the leading thinkers in Silicon Valley, from PayPal mastermind Peter Thiel to Google co-founder Larry Page. The formation of the Singularity University, and the huge popularity of the Singularity website kurzweilai.com, speak to the importance of this intellectual movement. 
  But what about the average person? How will the Singularity affect our daily lives—our jobs, our families, and our wealth? 
  Singularity Rising: Surviving and Thriving in a Smarter, Richer, and More Dangerous World focuses on the implications of a future society faced with an abundance of human and artificial intelligence. James D. Miller, an economics professor and popular speaker on the Singularity, reveals how natural selection has been increasing human intelligence over the past few thousand years and speculates on how intelligence enhancements will shape civilization over the next forty years. 
  Miller considers several possible scenarios in this coming singularity: A merger of man and machine making society fantastically wealthy and nearly immortal Competition with billions of cheap AIs drive human wages to almost nothing while making investors rich Businesses rethink investment decisions to take into account an expected future period of intense creative destruction Inequality drops worldwide as technologies mitigate the cognitive cost of living in impoverished environments Drugs designed to fight Alzheimer's disease and keep soldiers alert on battlefields have the fortunate side effect of increasing all of their users' IQs, which, in turn, adds a percentage points to worldwide economic growth  
  Singularity Rising offers predictions about the economic implications for a future of widely expanding intelligence and practical career and investment advice on flourishing on the way to the Singularity.

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