Altri libri che potrebbero interessarti

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  Paleozoic Era The: The History...

  Editors Charles River

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  The current view of science is that Earth is around 4.6 billion years old, and the first 4 billion years of its development are known as the Precambrian period. For the first billion years or so, there was no life in Earth. Then the first single-celled life-forms, early bacteria and algae, began to emerge. It’s unclear where they came from or even if they originated on this planet at all, but this gradual development continued until around four billion years ago when suddenly (in geological terms) more complex forms of life began to emerge.  
  	Scientists call this time of an explosion of new forms of life the Paleozoic Era, and it stretched from around 541 to 250 million years ago. In the oceans and then on land, new creatures and plants began to appear in bewildering variety, and by the end of this period, life on Earth had diversified into a myriad of complex forms that filled virtually every habitat and niche available in the seas and on the planet’s only continent, Pangea. 
  	The Precambrian Period is divided into three eons: the Hadean, the Archaean, and the Proterozoic. One layer of carbon in rocks that date to the Archaean Eon, found on islands west of Greenland, seems to have fossilized tracks that may have been left by some form of organic life, but scientists simply are not certain. The oldest confirmed remains of life date from the same eon and were found in rocks in Western Australia, which were found to contain fossilized bacteria estimated to be 3.46 billion years old. It seems likely that there were thousands, perhaps even millions of forms of life in these early periods, and most seem to have been microscopic in size and very simple in developmental terms.

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  Big Data - A Beginner's...

  Saswat Sarangi, Pankaj Sharma

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  Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. 
   
  Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. 
   
  The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.

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  Safety and Epilepsy - An...

  Edmonton Epilepsy Association

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  There is an increased risk of injury in people with epilepsy. 
  Seizures can present as a sudden fall, blank stare, confusion, uncontrolled movements, diminished awareness, odd sensations, a convulsion, or laboured breathing. 
  For some people with epilepsy, their seizures pose a minimal risk of injury. For others, their seizures may require extra precaution to avoid injury. For example, seizures that occur without warning, involve falls, loss of awareness, or confusion after the seizure could result in injury. Precautions may be necessary depending on the activity. 
  Assessing the risks associated with the type and frequency of the seizures may require implementing safety procedures.

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  Terminal 101 for Claude Code -...

  Tom Anderson

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  This audiobook is narrated by an AI Voice.   
  You have brilliant app ideas. Claude Code is ready to help you build them. But the moment someone says, "Open your terminal and run npm install," you freeze. That black screen feels like a wall between you and your dreams. 
  You're not alone. Thousands of smart, capable people abandon their coding journey at this exact moment. They can master spreadsheets, run businesses, and learn complex software, but the terminal feels impossibly intimidating. 
  Terminal 101 for Claude Code destroys that barrier forever. 
  This is the only guide written specifically for non-coders who want to build real applications using AI coding assistants. No computer science degree required. No prior programming experience needed. Just practical, fear-busting instruction that takes you from terminal-phobic to genuinely confident. 
  What You'll Master: 
  Foundation Skills That Build Confidence 
  - Navigate file systems without fear, using the essential dozen commands you'll use 90% of the time 
  - Create, move, and organize project files like a pro 
  - Understand what's actually happening when you type commands (spoiler: it's not dangerous) 
  Real Claude Code Integration 
  - Set up development environments that work with AI-generated code 
  - Install packages and dependencies using npm, pip, and other package managers 
  - Run and test the applications Claude Code creates for you 
  - Handle environment variables and configuration files safely 
  Version Control Made Simple 
  - Git basics for Claude Code users: save your work, create branches, and collaborate 
  - Connect your projects to GitHub without confusion 
  - Undo mistakes safely when experiments go wrong 
  Professional Development Skills 
  - Edit files directly in the terminal using nano and basic vim 
  - Manage background processes and development servers 
  - Write simple automation scripts that save hours of repetitive work 
  - Connect to remote servers and cloud platforms using SSH

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  Machine Learning Pipelines - A...

  Chuck Sherman

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  "Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems" is a detailed, hands-on guide that equips data scientists, machine learning engineers, and AI practitioners with the knowledge and skills needed to build, optimize, and deploy robust machine learning pipelines. This book takes you through every step of the pipeline development process, from data collection to model deployment, ensuring that your intelligent systems are efficient, scalable, and production-ready. 
  The book also features real-world examples, code snippets, and case studies that demonstrate how to apply these concepts in practical settings, allowing you to build intelligent systems that are reliable, maintainable, and capable of evolving with new data and requirements. 
  "Machine Learning Pipelines" will provide you with the tools and frameworks necessary to efficiently build and deploy machine learning solutions at scale. With this comprehensive guide, you’ll be empowered to create intelligent systems that deliver high-quality, actionable insights in real time.

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  Telehealth Success - How to...

  MD Aditi U. Joshi, MS Brandon M....

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  The COVID-19 pandemic rapidly accelerated the adoption of telehealth, forcing many clinicians to adapt overnight. While some have adapted well, many wrestle with the unique challenges of providing care virtually. What distinguishes those who flourish from those who struggle? 
   
  In what is becoming the essential guide to telehealth, Drs. Brandon M. Welch and Aditi U. Joshi leverage captivating stories and groundbreaking research to unravel the complexities of telemedicine. They outline what it takes to thrive with telehealth across five critical domains: 
  Patient Success: Ensuring patients receive quality care suited to their preferences.Clinician Success: Empowering providers to deliver exceptional care complementing their practice.Technology Success: Demystifying intuitive, reliable telehealth platforms.Financial Success: Providing a framework to reap financial benefits of telehealth.Compliance Success: Navigating laws and regulations to clinicians' advantage. 
   
  By following these strategies, healthcare providers can transition from merely adopting telehealth to truly thriving with it. Telehealth promises a more accessible, convenient, affordable, and equitable healthcare future. This book provides the roadmap.

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