Editorial: Simone Malacrida
In this book, exercises are carried out regarding the following mathematical topics:angles, lines and segmentscircumference and curvestriangles, quadrilaterals and polygonsInitial theoretical hints are also presented to make the performance of the exercises understood.
In the summer of 2022, Lee Berger lost 50 pounds in order to wriggle though impossibly small openings in the Rising Star cave complex in South Africa—spaces where his team has been unearthing the remains of Homo naledi, a proto-human likely to have coexisted with Homo sapiens some 250,000 years ago. The lead researcher on the site, still Berger had never made his way into the dark, cramped, dangerous underground spaces where many of the naledi fossils had been found. Now he was ready to do so. Once inside the cave, Berger made shocking new discoveries that expand our understanding of this early hominid—discoveries that stand to alter our fundamental understanding of what makes us human. So what does it all mean? Join Berger on the adventure of a lifetime as he explores the Rising Star cave system and begins the complicated process of explaining these extraordinary finds—finds that force a rethinking of human evolution, and discoveries that Berger calls "the Rosetta stone of the human mind."Ver libro
Deep learning has revolutionized the field of artificial intelligence, enabling computers to perform complex tasks that were once thought to be exclusive to human intelligence. Python, with its rich ecosystem of libraries and frameworks, has emerged as the language of choice for implementing deep learning algorithms. "Deep Learning with Python: Bridging the Gap for Advanced AI" is a comprehensive guide that takes readers on a journey through the world of deep learning, equipping them with the knowledge and skills necessary to bridge the gap between basic understanding and advanced applications. This book begins with a solid foundation in the fundamentals of deep learning, covering neural networks, deep architectures, and optimization techniques. Readers will explore the building blocks of deep learning with Python, including data preparation and preprocessing, model selection and evaluation, and an in-depth look at popular deep learning libraries and tools like TensorFlow, Keras, and PyTorch. Moving beyond the basics, the book dives into advanced techniques such as convolutional neural networks (CNNs) for image classification and object detection, recurrent neural networks (RNNs) for sequence modeling and language generation, and generative adversarial networks (GANs) for image generation and style transfer. The book also delves into deep learning for natural language processing, covering word embeddings, language modeling, and text classification. It explores transfer learning and deep reinforcement learning, providing insights into how pre-trained models can be leveraged and how deep learning can be applied to solve complex problems in reinforcement learning domains.Ver libro
From the imagination of pioneers to the technological revolution shaping the modern world, this book explores the fascinating history of artificial intelligence. Tracing the key stages in its development, it reveals how a bold idea - to create machines capable of thinking - was transformed into a reality that is shaking up our lives. With a clear and exciting approach, the book delves into Alan Turing's visionary beginnings, the first experiments in computational intelligence and the major technological breakthroughs, right up to the emergence of machine learning and the algorithms that are ubiquitous today. But beyond the technical advances, it also sheds light on the ethical debates and societal challenges brought about by this revolution. Rich in captivating anecdotes, portraits of daring researchers and accessible explanations, this book invites readers to discover not only the history of artificial intelligence, but also the fundamental questions it raises about the future of humanity. Accessible to novices and enthusiasts alike, it offers an illuminating look at one of the most fascinating and controversial phenomena of our time. A total immersion in a universe where the boundary between science fiction and reality gradually disappears, giving way to a future of infinite possibilities.Ver libro
Instagram Playbook: Cracking the Code to Instagram Excellence. Learn Proven Tactics for Branding and Growth to Elevate Your Instagram GameUnlock the doors to Instagram mastery and become an influential force in the digital realm with "Instagram Playbook." This audiobook is your definitive guide to navigating the dynamic landscape of Instagram, providing you with proven tactics for branding and growth that will elevate your Instagram game to new heights.In the era of visual storytelling, Instagram has emerged as a powerhouse platform, connecting individuals, businesses, and creators from around the globe. "Instagram Playbook" is your secret weapon, designed to equip you with the knowledge, strategies, and techniques required to stand out in the bustling digital crowd.Dive into a wealth of insights, from crafting a captivating Instagram bio and curating an aesthetic feed to optimizing hashtags, engaging with your audience, and leveraging Instagram's powerful features to your advantage. Discover how to harness the art of storytelling through visuals, captivating captions, and strategic posting schedules that captivate your followers' attention.Whether you're a business seeking to expand your digital presence, an aspiring influencer looking to make your mark, or an individual seeking to share your passions, This will be your ultimate playbook for success, guiding you through every step of your journey to Instagram excellence. Your online legacy starts here.Ver libro
"Edge Computing for Beginners: A Beginner's Guide to the Power of Decentralized Computing. Part 1" offers a comprehensive introduction to one of the most transformative technologies shaping the future of computing. In this accessible and informative guide, readers will embark on a journey to understand the fundamentals of edge computing and its potential to revolutionize the way we process, analyze, and act on data. From the basics of edge computing to real-world applications and use cases, this book covers everything beginners need to know to grasp the concepts and implications of decentralized computing. Readers will explore the evolution of computing from mainframes to cloud to edge, gaining insights into the core principles and concepts driving the rise of edge computing. Through clear explanations and real-world examples, readers will learn about the architecture and components of edge computing systems, including edge devices, edge infrastructure, and the edge computing stack. They will also discover the role of edge computing technologies such as edge analytics, machine learning, and edge storage in enabling real-time data processing and analysis at the edge. In addition to exploring the fundamentals of edge computing, this book provides practical guidance on implementing edge solutions, planning edge strategies, and overcoming challenges in edge deployment. Readers will delve into industry applications and case studies across healthcare, manufacturing, smart cities, and retail, gaining insights into how edge computing is transforming various sectors. "Edge Computing for Beginners" is your essential guide to unlocking the power of decentralized computing and navigating the exciting frontier of edge technology.Ver libro
This comprehensive guide demystifies federated learning, a technique that allows machine learning models to be trained across multiple decentralized devices or servers while keeping the data local. By focusing on privacy and security, federated learning enables organizations to leverage the vast amounts of data available without compromising individual privacy. Federated Learning: Privacy-Preserving Machine Learning in the Decentralized Age is an essential read for anyone interested in the intersection of privacy, machine learning, and decentralized systems. It provides a thorough understanding of how federated learning works and its potential to reshape the future of data privacy and AI.Ver libro
