Altri libri che potrebbero interessarti

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  The Future Of Sleep - A...

  Catherine Ball PhD

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  This audiobook is narrated by an AI Voice.   
  Sleep is not spare time. It is infrastructure for memory, mood, and clear thinking. This decade your bedroom becomes the quiet centre of health, enable by new and emerging technologies. In this punchy, fun, and practical field guide, futurist Catherine Ball cuts through the hype and shows you how to use technology that actually helps, skip what does not, and own your night. 
  From magical rings and smart beds to private, on‑device AI, you will learn how to turn small signals into simple habits that stick. Rooms that keep time with light, temperature, sound, and air. A privacy stance that keeps your data yours. Zero fluff, all action, written in her typical wit and humour. 
  Inside, you will discover 
  A future-filled playbook that makes sleep easier to repeat 
  How to use wearables for trends without falling into score anxiety 
  An AI co‑pilot for timing light, caffeine, travel and shift weeks 
  Cooling, lighting, sound and air fixes that make real bedrooms calm 
  Midlife sleep tools for hot nights and foggy mornings, explained without jargon 
  Safe infant nights and calmer parent sleep, plus teen timing that works with school 
  Digital CBT‑I, breath pacing, HRV biofeedback and tVNS, and when each belongs 
  A buyer's guide to the sleep economy and how to keep your data private 
  Who it is for? 
  Busy professionals who want sharper days. Parents who need nights that work in real homes. Teens and students who need timing that fits biology. Shift workers and leaders who design rosters. Clinicians who want clean handouts for patients. Anyone who is done with hype and ready for proof. 
  If you are tired of being tired, start here. Make the right sleep easy, private, and boring in the very best way.

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  Earth at Night - Our Planet in...

  National Aeronautics and Space...

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  Dazzling photographs and images from space of our planet's nightlights have captivated public attention for decades. In such images, patterns are immediately seen based on the presence or absence of light: a distinct coastline, bodies of water recognizable by their dark silhouettes, and the faint tendrils of roads and highways emanating from the brilliant blobs of light that are our modern, well-lit cities. For nearly 25 years, satellite images of Earth at night have served as a fundamental research tool, while also stoking public curiosity. These images paint an expansive and revealing picture, showing how humans have illuminated and shaped the planet in profound ways since the invention of the light bulb 140 years ago.

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  Communication skills hypnosis -...

  Stuart Newman

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  Communication skills hypnosis with DST Hypno and Stu Newman is the perfect way to let your voice be heard.  
  With this powerful program, you can learn how to communicate more effectively in any situation.  
  You will gain insight into yourself as a communicator and develop strategies for speaking confidently and persuasively.  
  This program also teaches you how to listen actively, understand others better, manage difficult conversations with ease, respond quickly in challenging situations, create meaningful connections with people around you - all while remaining calm under pressure!  
  Let go of fear or anxiety when it comes time for public speaking or expressing your opinion - take charge of your communication skills today by listening to DST Hypno's Communication Skills Hypnosis session!

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  Progressive Planet - Modern...

  Alexander Hodzic

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  "Progressive Planet: Modern Techniques for Recycling and Reclaiming Earth" is a groundbreaking guide to modern, sustainable living, offering insights into our environmental challenges and empowering readers to shape a sustainable future. Starting with an overview of the planet's state, the book addresses climate change and biodiversity loss, emphasizing the importance of acknowledging and understanding these issues. 
   
  Chapter 2 delves into the complexities of our waste problem, exploring both obvious and hidden culprits like food waste. The book advocates a shift to a circular economy to combat environmental degradation caused by waste overload. Chapter 4 explores advanced recycling techniques, from plastic recycling to industrial composting and e-waste recycling, making readers informed eco-conscious consumers. 
   
  Chapter 6 emphasizes individual responsibility, providing practical tips for small changes that collectively make a big difference. The book extends beyond recycling, introducing concepts like upcycling, repurposing, urban mining, habitat restoration, and support for renewable energy and regenerative agriculture. 
   
  "Progressive Planet" concludes with actionable steps, including reviewing government policies, corporate responsibility, and activism. The book ends on a hopeful note, empowering readers to contribute to a sustainable and resilient Earth. 
   
  With a call to action, "Progressive Planet: Modern Techniques for Recycling and Reclaiming Earth" is not just a book but a guide for responding to the planet's needs with knowledge, consciousness, and care.

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  Ultimate Transformer Models...

  Abhiram Ravikumar

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  Build Real-World AI with Transformers Powered by PyTorch 2.0.
  Book Description
  Transformer models have revolutionized AI across natural language processing, computer vision, and speech recognition. "Ultimate Transformer Models Using PyTorch 2.0" bridges theory and practice, guiding you from fundamentals to advanced implementations with hands-on projects that build a professional AI portfolio.
  This comprehensive journey spans 11 chapters, beginning with transformer foundations and PyTorch 2.0 setup. With this book, you will master self-attention mechanisms, tackle NLP tasks such as text classification and translation, and then expand into computer vision and speech processing. Advanced topics include BERT and GPT models, the Hugging Face ecosystem, training strategies, and deployment techniques. Each chapter features practical exercises that reinforce learning through real-world applications.
  By the end of this book, you will be able to confidently design, implement, and optimize transformer models for diverse challenges. So, whether revolutionizing language understanding, advancing computer vision, or innovating speech recognition, you will possess both theoretical knowledge and practical expertise to deploy solutions effectively across industries like healthcare, finance, and social media, positioning yourself at the AI revolution's forefront.
  Table of Contents
  1. Understanding the Evolution of Neural Networks
  2. Fundamentals of Transformer Architecture
  3. Getting Started with PyTorch
  4. 
  5. Natural Language Processing with Transformers
  6. Computer Vision with Transformers
  7. Speech Processing with Transformers
  8. Advanced Transformer Models
  9. Using HuggingFace with PyTorch
  10. Training and Fine-Tuning Transformers
  11. Deploying Transformer Models
  12. Transformers in Real-World Applications       
  
  Index

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  Deep Learning for Beginners: 2 in 1

  Steven Cooper

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  2 books in 1! This is the bundle of two successful books in the market.Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:•	Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. •	The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. •	The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. •	The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity.•	And much more...Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn:•	In depth information about what data science is and why it is important.•	The prerequisites you will need to get started in data science.•	What it means to be a data scientist.•	The roles that hacking and coding play in data science.•	The different coding languages that can be used in data science.•	Why python is so important.•	How to use linear algebra and statistics.•	The different applications for data science.•	How to work with the data through munging and cleaning•	And much more...Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!

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