Outros livros que poderiam interessá-lo

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  Recession & Inflation-Proof...

  Will Weiser

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  2 BOOKS IN 1 DEAL! 
  BOOK 1: 
  RECESSION-PROOF INVESTING FOR BEGINNERS: BEAR MARKET INVESTING STRATEGIES WITH DIVIDEND, IPOS, INVERSE ETFS & SHORT SELLING 
  BOOK 2: 
  INFLATION-PROOF INVESTING FOR BEGINNERS: BEAT THE BEAR MARKET USING HIGH YIELD DIVIDEND AND GROWTH STOCKS INVESTING 
  In book 1 you will discover:How To Profit From The Great ResetBest Inflation Proof Assets To Protect Your WealthWhy Cash Is KingHow to Use Dollar Cost AveragingBear Market Strategy - DividendsHow To Find ValueBear Market Strategy: Short SellingBest Recession Stocks To Buy Before Bear MarketWheel Options StrategyHow To Invest In IPOs (Initial Public Offerings)How To Research Stocks Using Fundamental Analysis 
  In book 2 you will discover:Recession InvestingFED Vs InflationHow Much Can The Stock Market Fall?How To Profit In The Bear Market RallyMarket Crash Shopping List – What & When To BuyHow To Beat The Market By Investing In Growth StocksHow To Find Out If The UK Is Headed For An Economic CrisisHow To Research Stocks For Beginners 
  BUY THIS BOOK NOW AND GET STARTED TODAY!

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  Magic Data - Harnessing the...

  Chuck Sherman

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  Are you ready to dive deep into the world of data structures and algorithms? Whether you're a novice programmer or an experienced developer, "Magic Data: Harnessing the Power of Algorithms and Structures" is your roadmap to mastering the essential building blocks of computer science. 
  In this comprehensive book, you'll embark on a journey that demystifies the intricate realm of data structures and algorithms. Starting with the basics, you'll grasp fundamental concepts such as time and space complexity, Big O notation, and algorithmic analysis. From there, you'll explore a diverse array of topics, ranging from classic data structures like arrays, linked lists, and trees to advanced techniques like dynamic programming, greedy algorithms, and more. 
  Whether you're preparing for coding interviews, looking to enhance your problem-solving abilities, or aiming to create efficient and optimized code, "Magic Data: Harnessing the Power of Algorithms and Structures" equips you with the knowledge and tools you need to excel in the dynamic world of computer science. 
  Don't just write code—craft elegant solutions. Uncover the secrets of algorithms and data structures, and embark on a transformative journey toward becoming a master problem solver. This book is your ultimate companion in the realm of efficient computation and intelligent design. 
   

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  The Deadly Rise of Anti-science...

  M.D. Peter J. Hotez

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  During the height of the COVID-19 pandemic, one renowned scientist, in his famous bowtie, appeared daily on major news networks such as MSNBC, NPR, the BBC, and others.  
   
  Dr. Peter J. Hotez often went without sleep, working around the clock to develop a nonprofit COVID-19 vaccine and to keep the public informed. During that time, he was one of the most trusted voices on the pandemic and was even nominated for a Nobel Peace Prize for  
  his selfless work. He also became one of the main targets of anti-science rhetoric that gained traction through conservative news media.  
   
  In this eyewitness story of how the anti-vaccine movement grew into a dangerous and prominent anti-science element in American politics, Hotez describes the devastating impacts it has had on Americans’ health and lives. As a scientist who has endured antagonism from anti-vaxxers and been at the forefront of both essential scientific discovery and advocacy, Hotez is uniquely qualified to tell this story. By weaving his personal experiences together with information on how the anti-vaccine movement became a tool of far-right political figures around the world, Hotez opens readers’ eyes to the dangers of anti-science. He explains how anti-science became a major societal and lethal force: in the first years of the pandemic, more than 200,000 unvaccinated Americans needlessly died despite the widespread availability of COVID-19 vaccines. Even as he paints a picture of the world under a shadow of aggressive ignorance, Hotez demonstrates his innate optimism, offering solutions for how to combat science denial and save lives in the process.

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  Neurofeedback For Trauma - Past...

  Stuart R Black

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  It's not clear how change will come, but it's clear that change is coming. The current paradigms of treating mental health fall short. 
  The psychiatric view of mental health disorders as imbalances in brain chemistry treated by medication fails to address the root cause. 
  The psychological view of mental health disorders as learned behavioural issues has severe limitations. Psychosocial therapies that require the trauma to be reimagined (talking therapies, EMDR) are ineffective for many traumatised children, adolescents and adults. 
  Neurofeedback therapy reaches the parts other therapies cannot reach. It works at the physiological level first, building the scaffolding for psychological change. 
  The challenge has been understanding, adopting and scaling this obscure approach. 
  Stuart Black explains how these challenges can be addressed, makes the case for Neurofeedback for trauma, and describes how you can incorporate Neurofeedback therapy into your service.

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  Trustworthy AI - A Business...

  Beena Ammanath

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  An essential resource on artificial intelligence ethics for business leaders 
   
     
   
  In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. 
   
      
   
  Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: in-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more; a close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application; and best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making. Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

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  Pytorch - Building AI Models...

  James Henry

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  Unlock the power of PyTorch, one of the most dynamic and flexible deep learning frameworks in the world of artificial intelligence. PyTorch: Building AI Models with Ease and Flexibility is a comprehensive guide that takes readers on a journey from the fundamentals of PyTorch to advanced applications in AI research and industry. 
  Designed for AI enthusiasts, researchers, and professionals alike, this book offers a hands-on, practical approach to learning PyTorch. Starting with the basics of tensor operations and automatic differentiation, readers will quickly grasp how to build, train, and optimize deep learning models. Each chapter introduces progressively complex concepts, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced techniques like transfer learning, GANs, and reinforcement learning. 
  Key highlights include:Step-by-step tutorials for building neural networks from scratchIn-depth explanations of PyTorch's dynamic computation graph and AutogradAdvanced topics in model deployment, distributed training, and reinforcement learningReal-world applications in NLP, computer vision, and AI researchBest practices for optimizing PyTorch models and enhancing performance 
  PyTorch: Building AI Models with Ease and Flexibility is not just about learning a framework—it's about understanding how to apply PyTorch effectively to solve complex problems, innovate in AI research, and take your machine learning projects to the next level. Whether you are a beginner or an experienced AI practitioner, this book is your essential companion in mastering PyTorch and building cutting-edge AI models.

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