Outros livros que poderiam interessá-lo

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  Artificial Intelligence

  Jim D Johnston

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  Artificial Intelligence is transforming the way we work, communicate, create, and solve problems. Whether you're a student, entrepreneur, technology enthusiast, or working professional, Artificial Intelligence Guide provides a clear and practical introduction to one of the most influential technologies of our time. 
  Written in straightforward language, this book explains the core concepts behind AI without requiring a technical background. You'll discover how intelligent systems learn from data, make predictions, recognize patterns, and power the applications we use every day. From machine learning and deep learning to natural language processing, computer vision, and generative AI, each topic is presented with real-world examples and practical insights. 
  Inside, you'll explore:The foundations of artificial intelligence and machine learningHow neural networks and deep learning models workNatural language processing and conversational AIComputer vision and image recognition technologiesGenerative AI, large language models, and AI assistantsAI applications across healthcare, finance, education, manufacturing, and businessEthical considerations, privacy, bias, and responsible AI developmentFuture trends shaping the next generation of intelligent systems 
  Artificial Intelligence Guide is your accessible roadmap to understanding the technologies that are redefining industries, creating new opportunities, and shaping the future of our digital world. 
   

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  Into Stability - Walter R Evans...

  Gregory W. Evans

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  Into Stability: Walter R. Evans and the Story of Root Locus tells the remarkable story of a quiet but transformative breakthrough in engineering—one that reshaped modern control systems and helped guide technological progress during the Cold War. 
  In the late 1940s, as engineers struggled to design increasingly complex feedback systems for aircraft, radar, and emerging technologies, stability remained one of the most difficult problems in control engineering. Walter Evans, working with a rare combination of mathematical insight and practical intuition, developed a graphical technique that allowed engineers to visualize how system stability changed as parameters shifted. This method—later known as the root locus—quickly became one of the most powerful and widely taught tools in control theory. 
  The book traces Evans’s journey from his early life and education through the intellectual environment that shaped his thinking, revealing how curiosity, persistence, and unconventional problem-solving led to a breakthrough that would influence generations of engineers. 
  Beyond the mathematics, Into Stability is also a human story—of family, mentorship, and the legacy of innovation. Gregory W. Evans blends personal recollections with historical context to illuminate how one engineer’s idea spread through classrooms, laboratories, and industries worldwide. The result is both a tribute and a historical narrative that captures the spirit of discovery that drives engineering progress. 
  Ultimately, the book reveals how a deceptively simple graphical technique became a cornerstone of modern control engineering—shaping everything from aerospace systems to robotics and beyond—while honoring the life and contributions of the man who first drew stability into view.

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  Signals in the Noise - Security...

  Timothy E Reed

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  Signals in the Noise: Security, Technology, and the Hidden Patterns of Modern Risk examines how clarity, judgment, and human discernment can survive in an age dominated by algorithms and information overload. 
  Drawing on lessons from intelligence tradecraft, behavioral science, and crisis management, Reed explores how modern organizations can recover the habits of mind that once defined strategic thinking. Each chapter translates operational insights—from aviation and medicine to corporate command centers—into practical methods for navigating uncertainty. 
  The book argues that true intelligence lies not in speed or scale, but in discernment: the ability to distinguish what matters from what merely shouts the loudest. Reed shows that the future of security depends not on better machines, but on better meaning.

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  Internationalism or Extinction

  Noam Chomsky

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  In his new book, Noam Chomsky writes cogently about the threats to planetary survival that are of growing alarm today. The prospect of human extinction emerged after World War II, the dawn of a new era scientists now term the Anthropocene. Chomsky uniquely traces the duality of existential threats from nuclear weapons and from climate change—including how the concerns emerged and evolved, and how the threats can interact with one another. The introduction and accompanying interviews place these dual threats in a framework of unprecedented corporate global power which has overtaken nation states’ ability to control the future and preserve the planet. Chomsky argues for the urgency of international climate and arms agreements, showing how global popular movements are mobilizing to force governments to meet this unprecedented challenge to civilization’s survival.

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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  Reckoning with Medicine's Racial...

  Beckett Ravensdale

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  Reckoning with Medicine's Racial Divide: Voices that Demand Change 
  ⭐⭐ Simplified Guide & Explanations Included ⭐⭐ 
  Are you eager to advance your career in the medical field and deepen your understanding by tackling the complexities of healthcare disparities? 
  Searching for a comprehensive resource that includes everything you need to drive change in medicine's racial divide? 
  Your search concludes here! 
  This guide is your ultimate companion for enhancing your knowledge, applying your skills, and participating in actionable exercises. With this resource in hand, you're well-equipped to make a difference. 
  Updated for the current understanding of disparities in healthcare. 
  Key features of this enhanced guide: 
  - In-depth insights into addressing disparities and empowering change in the healthcare system 
  - Thorough explanations on the importance of healing communities through equitable care 
  - Effective strategies for implementing transformative practices in healthcare 
  Our guide stands out through its thorough coverage, essential for your success in driving change. Concepts are explored in detail, ensuring a rich understanding of the issues at hand. 
  Crafted with a clear structure and accessible language, our guide guarantees smooth transitions between topics. Bid farewell to convoluted jargon and embrace content that is clear, precise, and technically sound. 
  So, why hesitate? Click the BUY NOW button, secure your guide, and embark on your journey toward transforming healthcare and addressing its racial divide!

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