Outros livros que poderiam interessá-lo

• 

  Time Series Databases - A...

  SAM CAMPBELL

  • 0
  • 0
  • 0

  "Time Series Databases: A Practical Guide to Storing, Analyzing, and Visualizing Time-Stamped Data" is the definitive guide to understanding and utilizing time series databases for anyone looking to harness the power of time-stamped data. This comprehensive book is designed for data scientists, engineers, and analysts who are diving into time series data analysis for the first time or looking to expand their knowledge of time series database management. 
  Time series data, characterized by its sequential nature and timestamped entries, is critical in various domains such as financial markets, internet of things (IoT) applications, environmental monitoring, and more. This book begins with a foundational introduction to time series data, exploring its importance, characteristics, and the unique challenges it presents in storage, analysis, and visualization. 
  "Time Series Databases: A Practical Guide to Storing, Analyzing, and Visualizing Time-Stamped Data" is packed with practical examples, code snippets, and exercises to apply what you've learned. Whether you're monitoring environmental sensors, analyzing financial market trends, or tracking user activity on a website, this book will equip you with the knowledge and tools needed to leverage time series databases effectively. 
  By the end of this book, readers will have a solid understanding of time series databases and be well-equipped to tackle the unique challenges of time-stamped data, from efficient storage and analysis to insightful visualization and forecasting. 
   

  Ver livro

• 

  The Future of Seeing - How...

  Daniel K. Sodickson

  • 0
  • 0
  • 0

  Over the centuries, we have learned to peer into what was once invisible. Imaging devices like cameras, telescopes, microscopes, and MRI machines map the world around, beyond, and within us in ways the naked eye could never see. In so doing, these technologies have transformed our understanding of our place in the universe and our conception of our own bodies―and we may be on the cusp of an even greater revolution.Daniel K. Sodickson―a physicist and biomedical imaging innovator―explores the rich history and surprising future of vision, from the evolution of eyes to emerging high-tech devices. Beginning in the early oceans, when organisms first developed sight, The Future of Seeing tells the stories of the many remarkable tools people have invented to extend our natural vision. Ranging from the tales of brilliant inventors to profiles of everyday people, this book shows how imaging has transformed the practice of medicine, reshaped the global economy, and complicated the notion of privacy. In the era of artificial intelligence, Sodickson argues, it will be reinvented even further, emulating not only our senses but also our brains. Inviting and eye-opening, The Future of Seeing is a revelatory look at what imaging teaches us about the way we see the world, each other, and ourselves.

  Ver livro

• 

  overview of An: Cancer as a...

  Dr. Thomas Seyfried, Dr. Dominic...

  • 0
  • 0
  • 0

  25% of the royalties of this book will be donated to Dr. Seyfrieds research (See KetoforCancer.net)! This research will actually make a real impact, as it studies the real causes and treatment opportunities of cancer. 
  This book is an overview of Dr. Thomas Seyfrieds scientific work, regarding that Cancer is a metabolic disease. It comprisesTranscripts of his talks and interviews that summarize all his most important points, as well asA Presentation by his collegue Dr. Dominic D'Agostiono about the "Press Pulse Strategy" andA possible way of eating, that would prevent cancer from the get go: The RockSolid Diet (by J.Rockermeier) 
  Here the description of his scientific work: 
  "Cancer as a metabolic disease" addresses controversies related to the origins of cancer and provides solutions to cancer management and prevention. It expands upon Otto Warburg's well-known theory that all cancer is a disease of energy metabolism. However, Warburg did not link his theory to the "hallmarks of cancer" and thus his theory was discredited.This book aims to provide evidence, through case studies, that cancer is primarily a metabolic disease requring metabolic solutions for its management and prevention. 
  Brain cancer case studies are presented as a proof of principle for metabolic solutions to disease management, but similarities are drawn to other types of cancer, including breast and colon, due to the same cellular mutations that they demonstrate. 
  This book comprises the opinion of Dr. Thomas Seyfried regarding the metabolic nature of cancer. He states, that it is not genetic, but a mitochondrial disease. 
  This book is NOT a summary of his original, scientific book. It's rather a collection of video transcripts, that summarize his point. With official permission, because we donate 25% of the royalties directly to his research!

  Ver livro

• 

  Ultimate FINGPT for Financial...

  Dr. Jignasha Dalal

  • 0
  • 0
  • 0

  Turn Financial Data into Decisions with the Power of FinGPT.
  Book DescriptionFINGPT is redefining how financial institutions analyze data, forecast trends, and make strategic decisions. As the financial sector embraces generative AI, understanding and applying FINGPT becomes essential for professionals seeking to stay competitive and innovative.
  Ultimate FINGPT for Financial Analysis takes you on a complete journey—from setting up your development environment and preparing financial datasets to building, fine-tuning, and deploying FINGPT models. The book covers all the vital concepts such as data cleaning, model training, prompt engineering, and real-world deployment. You will learn to automate financial reporting, generate accurate forecasts, perform sentiment analysis on news and reports, and simulate risk scenarios. Dedicated chapters on case studies and performance optimization provide deep insights into practical applications, while ethical considerations and scaling strategies ensure readiness for enterprise use.
  Hence, whether you are a finance expert aiming to integrate AI or a data scientist expanding into fintech, this book provides the tools, frameworks, and confidence to apply FINGPT in your work. So, do not get left behind—start transforming your financial analysis with AI today.
  Table of Contents1. Introduction to FINGPT2. Setting up the Development Environment3. Cleaning and Preparing Financial Data4. Fine-Tuning and Training a FINGPT Model5. Case Studies in Financial Analysis6. Automating Financial Reports with FINGPT7. Market Trend Prediction with FINGPT8. Sentiment Analysis in Finance with FINGPT9. Model Performance Optimization and Scaling10. Future Directions, Summary, and Conclusion       Index

  Ver livro

• 

  Wild American Ginseng - Lessons...

  James McGraw

  • 0
  • 0
  • 0

  Wild American ginseng, America's most famous medicinal plant, is in trouble. In plain prose, James McGraw explains why as he translates the latest in ecological and conservation science findings on this unassuming understory herb. As the world's foremost authority on wild ginseng, McGraw is uniquely poised to present this story based on more than twenty years of uninterrupted field research. 
   
   
   
  McGraw traces the dramatic ecological history of ginseng in North America, documenting the ginseng-centric view of a world increasingly dominated by both direct and indirect actions of humans. Far more than a story of a single plant species, ginseng becomes a parable, a canary in a coal mine, for what is happening to our dwindling wild species across the globe. Documenting lingchi (death by a thousand cuts) in human interactions with wild species, McGraw shows us the evidence of our slowly eroding biodiversity and our diminishing global biotreasury. 
   
   
   
  Beyond merely documenting our destruction of nature, McGraw also offers a pathway to an optimistic future for ginseng and the wild species with whom we share the planet. He illuminates how a dramatic expansion of our commitment to sharing the planet with our fellow planetary companions is the key to preservation; and now is the time to do so.

  Ver livro

• 

  Mastering AI for Healthcare -...

  Nilashis Roy

  • 0
  • 0
  • 0

  Harness AI-led Revolution to Deliver Smarter, Faster, and Better Healthcare.
  Book Description
  Artificial Intelligence is rapidly becoming indispensable in modern healthcare—reshaping how we diagnose, treat, and deliver care. Mastering AI for Healthcare offers a clear, structured journey through this transformation, helping readers understand the critical role AI plays in improving clinical outcomes and operational efficiency.
  The book begins with foundational AI concepts tailored for healthcare professionals, establishing a solid base in machine learning, neural networks, and data science. It then guides readers through practical applications across the care continuum—exploring how predictive analytics can forecast disease risks, how AI powers telemedicine and remote monitoring systems, and how it enhances clinical decision-making through smarter, data-driven EHR systems. Each chapter builds with real-world examples, case studies, and implementation frameworks, offering clarity on emerging tools like computer vision for diagnostics, personalized treatment algorithms, and intelligent automation in hospital workflows.
  Whether you're a healthcare professional, researcher, or policymaker, this book provides the insights you need to stay ahead in a tech-driven world. Don’t get left behind—embrace the tools shaping the future of medicine and lead the change with confidence.
  Table of Contents
  1. Introducing AI in Healthcare
  2. AI Fundamentals for Healthcare
  3. Predictive Analysis in Healthcare
  4. Artificial Intelligence in Telemedicine Remote Patient Monitoring
  5. AI in Clinical Decision Support and Electronic Health Record
  6. Imaging and Diagnosis Using AI
  7. Challenges and Limitations of AI in Healthcare
  8. Future of AI in Healthcare     
  
  Index

  Ver livro