Altri libri che potrebbero interessarti

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  Cyber Security for Beginners -...

  Daniel Greene

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  In a world powered by technology and interconnectivity, the digital landscape is both a playground and a battleground. "Cybersecurity for Beginners" is your essential companion on the journey to fortifying your online presence and understanding the fundamentals of cybersecurity. 
  Embark on a captivating exploration of the evolution of cyber threats, from the early days of viruses to the sophisticated challenges of the modern digital era. This book goes beyond the headlines, delving into the importance of cybersecurity for both individuals and businesses, unraveling the layers of protection needed to safeguard your identity, privacy, and sensitive information. 
  With an easy-to-follow approach, you'll learn the art of creating strong, unique passwords and the power of two-factor authentication. Navigate the treacherous waters of social engineering attacks, recognizing phishing emails and thwarting malicious tactics aimed at manipulating unsuspecting users. 
  Equip yourself with the tools to secure your devices and networks, understanding the role of antivirus software, and implementing network security best practices. Uncover the secrets of safe online behavior, from web browsing best practices to safeguarding your social media presence. 
  Business owners will discover invaluable insights into small business cybersecurity and corporate cybersecurity policies, empowering them to protect their enterprises from the ever-growing array of digital threats. 
  As you progress through "Cybersecurity for Beginners" you'll gain a comprehensive understanding of the cybersecurity landscape, empowering you to make informed decisions and defend against potential threats. The book concludes with a glimpse into the diverse career paths within cybersecurity and guidance on further learning, making it an ideal resource for those aspiring to enter this dynamic and crucial field.

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  Machine learning

  Bright Mills

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  Machine Learning (ML) is a subset of Artificial Intelligence that empowers systems to learn from data and make decisions or predictions without being explicitly programmed. It represents a major shift from traditional rule-based programming to systems that adapt and improve over time. This comprehensive guide delves into the theoretical foundations, types, algorithms, tools, applications, challenges, and the future of Machine Learning. It covers supervised, unsupervised, semi-supervised, and reinforcement learning in detail, explains key techniques such as neural networks, decision trees, support vector machines, and deep learning, and explores real-world applications across domains like healthcare, finance, security, and robotics. Ethical concerns, bias in AI, explainability, and interpretability are also discussed, offering a well-rounded understanding of the state and direction of Machine Learning.

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  Astronomy - Cosmology Photometry...

  Arnoud Varens

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  This book contains 3 topics, all centered around astronomy: 
  1 - Cosmology: Welcome to a journey through the depths of space and time, a voyage into the heart of the cosmos, and an exploration of the most profound mysteries our universe holds. This is a book about cosmology—a science that unveils the grandeur of the universe, its history, its structure, and its deepest secrets. It's a journey through the vast expanses of space, where galaxies collide, stars are born and die, and black holes lurk in cosmic shadows. But it's also a journey through the frontiers of human knowledge and imagination, where the quantum world meets the cosmic expanse. 
  2 - Photometry: In the vast expanse of the universe, where the night sky reveals countless stars, planets, and galaxies, the pursuit of knowledge knows no bounds. Among the many tools at the disposal of astronomers and astrophysicists, photometry stands as a beacon of precision and insight. This book, "Photometry: Science, Sensitivity, and Its Connection to Astronomy," is your guided journey into the fascinating world of measuring and interpreting light in the cosmos. 
  3 - Spectroscopy: Spectroscopy, the study of the interaction between matter and electromagnetic radiation, may sound complex and esoteric, but at its heart lies a simple and profound idea: the colors of light can reveal the secrets of the universe. From the examination of distant stars to the analysis of molecules in a laboratory, spectroscopy is the key that unlocks the hidden stories encoded in light.

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  Called by the Wild - The Dogs...

  Conraad de Rosner, Graham...

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  The thrilling story of a pioneering conservationist working with dogs to protect wildlife from poachers 
  Conraad de Rosner is a pioneering game ranger, working with dogs to protect wildlife against poachers – both ‘bushmeat’ poachers, who use cruel snares to trap animals, and criminal syndicates killing for rhinoceros horn and capturing critically endangered pangolins, the most trafficked animal in the world. 
  Con’s life – constantly at risk from poachers, wildlife and even his own fellow rangers – has been saved on numerous occasions by his devoted canine companions. His first dog, Zingela, a Weimaraner, saved Con from near certain death at the hands of two fellow rangers; on another occasion, Zingela alerted Con to a concealed wounded buffalo, one of Africa’s most dangerous animals, about to charge. When Zingela was tragically killed, hit by a car while Con was away, the only meagre consolation was that Con had kept Landa, one of the nine puppies sired by Zingela. Landa followed in his father’s footsteps as the leader of the canine anti poaching team that is still operating today. 
  Con’s story is an epic of modern-day African wildlife conservation, filled with courage, adventure and romance. 
  Contains descriptions of violence

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  EGG-SCITING Secrets to Maximize...

  Ronan Quillan

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  EGG-SCITING Secrets to Maximize Your Fertility Potential! 
  ⭐⭐ Simplified Guide & Explanations Included ⭐⭐ 
  Are you eager to enhance your fertility and unlock the secrets to maximizing your potential?  
  Looking for a comprehensive guide that covers everything you need to know to elevate your fertility journey?  
  Your quest ends here! 
  This guide is your ultimate companion for deepening your understanding, applying your knowledge, and engaging in practical exercises. With this resource, you’re set for success. 
  Updated for the latest insights on fertility optimization. 
  Key features of this comprehensive guide include: 
  - In-depth insights into unlocking your fertility journey  
  - Detailed explanations of fertility concepts 
  - Effective strategies for preparation and tackling challenges 
  Our guide stands out with its thorough coverage, ensuring you have every tool needed for your success. Concepts are explored with care and clarity. 
  Please note that this guide is an independent resource and not affiliated with any official fertility organizations. 
  Crafted with a clear structure and accessible language, our Fertility Guide ensures seamless transitions between topics. Say goodbye to dense jargon and welcome content that is straightforward, accurate, and informative. 
  So, why wait? Click the BUY NOW button, secure your guide, and embark on your successful journey to enhance your fertility potential!

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  Reinforcement Learning -...

  Simon Winston

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  In a world where machines are constantly pushing the boundaries of human capabilities, one field stands out as a beacon of innovation: Reinforcement Learning (RL). In "Reinforcement Learning: Amplifying AI - Shattering Boundaries with Reinforcement Learning," embark on an exhilarating journey into the heart of AI's next frontier. 
  Unveiling the inner workings of reinforcement learning, this book is your guide to understanding and harnessing the power of intelligent agents that learn to make decisions through trial and error. From the foundational concepts of agents, environments, and rewards to advanced algorithms like Q-learning, deep Q-networks, and policy gradients, you'll uncover the strategies that machines use to optimize their own performance. 
  Dive into the world of dynamic programming, explore Monte Carlo methods, and delve into the intricacies of temporal difference learning. Discover how these algorithms enable machines to not only learn from their experiences but also to predict and adapt to the outcomes of their actions. Witness the fusion of reinforcement learning and neural networks, creating potent combinations capable of conquering complex tasks. 
  But this book doesn't just stop at theory. It provides hands-on insights into implementing reinforcement learning algorithms, equipping you with the tools to transform abstract concepts into practical solutions. Explore exploration strategies that balance learning from the familiar with the excitement of the unknown. Understand the challenges of transferring knowledge across tasks and the emerging frontiers of multi-task learning and hierarchical approaches. 
  Join us on this transformative expedition into the realm of Reinforcement Learning, and discover how it amplifies AI's capabilities, shattering boundaries along the way. Your journey to empower machines with intelligent decision-making starts here. 
   

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