Otros libros que te pueden interesar

• 

  22 Ideas About The Future

  Benjamin Greenaway, Stephen...

  • 0
  • 0
  • 0

  This collection of provocations from the think tank Cybersalon brings together a blend of near-future speculative fiction and non-fiction commentary from leading experts in the fields of health, community, retail, and money. Together, they shine a light behind the cornerstones of our lives to reveal the unexpected and invite you to cast your critical eye on technology and its effect on society. Be prepared for warnings and inspirations from those who speculate about the future and those who make it a reality. 
  "The shards from a score of Black Mirrors reflecting future truths, as only fiction can." Charles Arthur, author of Social Warming: How Social Media Polarises us all 
  "Challenging and lively, these short stories will inspire readers to give more thought to the surprising risks and opportunities of pervasive technologies." David Wood, Futurist and author of Vital Foresight 
  "These stories will stop you in your tracks, make you think and spur you into action!" Jana Hlistova, Founder of The Purse, Host of The Purse Podcast 
  "When the Western population is lost in a fantasyland of algorithms and abstractions, the 22 tales of speculative fiction in this book are able to provide unique and subversive insights into our possible futures." Richard Barbrook, author of Imaginary Futures 
  "If visions are futures for the heart, here we have much heartfelt foresight into how our lives, our relationships, and our selves, are being transformed by data-fication. These futures feel personal, as they should." Tracey Follows, futurist and author of The Future of You

  Ver libro

• 

  Deep Learning for Finance -...

  Sofien Kaabar

  • 0
  • 0
  • 0

  Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. 
   
   
   
  Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. 
   
   
   
  This book will help you to understand and create machine learning and deep learning models; explore the details behind reinforcement learning and see how it's used in time series; understand how to interpret performance evaluation metrics; examine technical analysis and learn how it works in financial markets; create technical indicators in Python and combine them with ML models for optimization; and evaluate the models' profitability and predictability to understand their limitations and potential.

  Ver libro

• 

  Tough and Competent - Leadership...

  Eugene F. Kranz

  • 0
  • 0
  • 0

  Tough and Competent documents the leadership and teamwork principles which emerged from an organization of novice, part-time engineers in NASA Mercury Control. By July 1969, when faced with the stress of the Apollo 11 mission to land Americans on the moon, they had matured into a group of hardened individuals empowered to make the split-second decisions to land with only seventeen seconds of fuel remaining. What had changed? Team chemistry, IT!, is the unifying soul of operations that emerged from the leadership, working, and social environment to achieve organizational excellence. Mission Control could address quickly the risks and complexity of spaceflight operations. The intangible element, IT!, elevates performance to where the impossible becomes commonplace. 
   
   
   
  IT! was born in a bare-bones warehouse floor work environment, where learning by doing developed the materials for flight. Controllers spanned diverse backgrounds: Philco tech reps, farm boys, Native Americans, and junior college grads who became self-made engineers. A free exchange of knowledge developed expertise among colleagues. Everyone brought unique viewpoints and skills which coalesced into IT! In relaying his long tenure at NASA, Kranz narrates the development of IT! His views on lessons learned through decades of Mission Control are valuable for any innovation-based organization.

  Ver libro

• 

  Quantum Analytics : Transforming...

  Ecnal Ver

  • 0
  • 0
  • 0

  Discover the Future of Data 
  We live in a world overflowing with information. Every second, new data is created from our phones, computers, cars, and even household appliances. But the old tools we use to understand this data are falling behind. Quantum Analytics takes you on a journey into a new way of thinking, where strange but powerful ideas from quantum theory help us see patterns, make smarter choices, and understand complex problems. 
  From Classical to Quantum Thinking 
  Classical analytics depends on clear, simple answers. But the world isn’t simple anymore. Quantum ideas such as superposition, entanglement, and uncertainty allow us to hold many possibilities at once, see hidden connections, and even understand how our focus can change outcomes. Instead of being limited to straight-line logic, we learn to explore data as a living, changing web of information. 
  Tools for Real-World Challenges 
  This audiobook shows how quantum thinking can solve problems in business, science, medicine, and daily life. From managing traffic in busy cities to protecting personal privacy with quantum encryption, from modeling the spread of disease to building smarter machine learning systems, the applications are endless. Quantum analytics is not just about new machines. It is about a new mindset that helps us work with uncertainty instead of fearing it. 
  Why This Book Matters 
  You do not need to be a scientist to understand or use these ideas. Quantum Analytics makes complex ideas simple and clear, inviting you to see the world in new ways. You will discover how quantum theory reshapes decision-making, security, and even creativity. This audiobook is about more than data. It is about thinking differently, asking deeper questions, and opening doors to possibilities that classical methods miss. 
  Take this journey into the heart of quantum thinking and see how it can transform the way you understand information, make choices, and imagine the future.

  Ver libro

• 

  Early Detection - Catching...

  Bruce Ratner, Adam Bonislawski

  • 0
  • 0
  • 0

  Catching cancer early remains the single best way to combat a disease that is the second-leading killer in both the US and worldwide. But the vast majority of resources in the fight against cancer are devoted to relatively ineffective late-stage treatments. Early Detection examines this important anomaly in an accessible and expertly researched survey.In a co-authorship that brings together the passion and urgency of someone touched deeply by the experience of cancer with the knowledge of a skilled science writer, Ratner and Bonislawski narrate compelling case studies across a range of screening programs and different forms of cancer. They look at the science underpinning early detection and discuss the organizational and social challenges of widespread screening, a dimension that has been shown to be especially important in the COVID-19 pandemic. And they call for the government and the medical establishment to provide resources for expanding screening, especially in economically disadvantaged communities that have traditionally been underserved.

  Ver libro

• 

  Neural Networks for Beginners -...

  Daniel Garfield

  • 0
  • 0
  • 0

  Are you curious about the fascinating world of Artificial Intelligence and how it powers cutting-edge technologies such as self-driving cars, virtual assistants, and advanced medical diagnostics? Do you find the concept of neural networks intriguing but feel overwhelmed by their complexity? Fear not! "Neural Networks for Beginners" is your comprehensive gateway into the exciting realm of AI and its most versatile tool: neural networks. 
  In this beginner's guide, you will embark on an enlightening journey that demystifies the intricacies of neural networks, making even the most complex concepts accessible to all. Starting with the basics, you'll explore the fundamental building blocks of artificial neurons and learn how they mimic the human brain's function. As you progress, you'll delve into the core architectures of neural networks, such as Multi-Layer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs), uncovering their unique applications and strengths. 
  The book goes beyond theory by providing a hands-on approach to training neural networks. You'll learn how to preprocess data, handle various data types, and employ optimization techniques like the Backpropagation Algorithm and Gradient Descent. With practical examples and step-by-step guidance, you'll develop a solid understanding of how to build and train neural networks for real-world tasks. 
  "Neural Networks for Beginners" is the perfect companion to navigate the exciting landscape of AI. Embark on this enlightening journey and embrace the limitless possibilities of neural networks to create innovative solutions and shape the world of tomorrow. Get ready to unleash the power of AI's most versatile tool! 
   

  Ver libro