Otros libros que te pueden interesar

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  Sleep Vibes: 25 Ambient Sleep...

  Sleep Vibes - Reset Your Brain For

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  This premium collection draws on cutting-edge research in sound therapy and neuroscience. Each soundscape is meticulously designed to activate your brain's alpha and theta waves, creating the ideal environment for restorative sleep and deep relaxation.Whether it's the gentle hum of smoothed white noise, calming ethereal music, or soothing ambient tones, every track is engineered to reduce stress, promote mindfulness, and help you drift effortlessly into peaceful slumber. These soundscapes are more than just background noise—they're a scientifically-backed tool to optimize your nightly rest, rejuvenate your mind, and elevate your well-being.Perfect for unwinding after a long day or creating a serene bedtime ritual, this collection adapts to your unique sleep preferences, offering a variety of tones and rhythms to suit every listener. With a total runtime that spans hours of tranquility, 25 Ambient Sleep Soundscapes is your gateway to a healthier, more restful night's sleep.

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  Tsunami Days

  John Barnie

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  "We need more writers with bite. We have lived in the flatlands too long," writes John Barnie in one of his 'observations' ('Art in the Flatlands'). And bite he delivers.
  
  Ranging across politics, history, culture, ecological disaster, the meaning of truth, poetry, what we mean by identity and more… Barnie shares a window onto the world that is both erudite and particular. Leaning towards pessimism in a darkening world, these observations are often provocative, not from any bullish desire to antagonise, but as the result of mining a rationalist line of thought with an honesty and consistency that is applied as much to the author as to his subjects. There is a clarity here that some may find uncomfortable, but the aim is always dialogue above agreement; intellectual engagement above cheap solutions and sentimentality.
  
  Barnie asks us to think, consider and dig deeper, but most of all he asks that we "…live richly among our secondary self-created meanings, while recognising them for what they are. To face without flinching the nullity of the great void." ('Varieties of Meaning')
  Tsunami Days is a vital collection of essays for those prepared to engage with its unflinching observations.

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  Interpretability and...

  Aruna Chakkirala

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  Demystify AI Decisions and Master Interpretability and Explainability Today
  Book Description
  Interpretability in AI/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust.
  Interpretability and Explainability in AI Using Python takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models.
  You’ll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you’ll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals—powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems.
  Through hands-on Python examples, you’ll learn how to apply these techniques in real-world scenarios. By the end, you’ll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards—giving you a competitive edge in the evolving AI landscape.
  Table of Contents
  1. Interpreting Interpretable Machine Learning
  2. Model Types and Interpretability Techniques
  3. Interpretability Taxonomy and Techniques
  4. Feature Effects Analysis with Plots
  5. Post-Hoc Methods
  6. Anchors and Counterfactuals
  7. Interpretability in Neural Networks
  8. Explainable Neural Networks
  9. Explainability in Transformers and Large Language Models
  10. Explainability and Responsible AI      
  
  Index

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  Technological Evolution -...

  Zoey Fraisers

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  Prepare to witness the digital revolution's unseen consequences and opportunities. 
  This essential collection delves into the transformative technologies reshaping society, economy, and human experience. Through expert analysis and insider knowledge, this guide reveals what tech corporations and futurists aren't telling you about our rapidly evolving digital landscape. 
  THE SHOCKING TRUTH ABOUT ARTIFICIAL INTELLIGENCE 
   The reality behind AI capabilities and limitations beyond the marketing hype. Uncover how algorithms actually make decisions, the ethical blind spots in development, and the true state of machine consciousness versus public perception. Learn to distinguish genuine innovation from speculative promises in this critical examination of AI's present and future. 
  THE SHOCKING TRUTH ABOUT ARTIFICIAL INTELLIGENCE IN JOBS 
   How automation is transforming employment in unexpected ways across industries. Discover which professions face imminent disruption, which human skills remain irreplaceable, and the surprising new career paths emerging. This section provides practical guidance for navigating the shifting employment landscape in an increasingly AI-driven economy. 
  THE SHOCKING TRUTH ABOUT VIRTUAL REALITY 
   The physiological, psychological and social implications of immersive digital worlds. Explore how extended reality technologies are reshaping entertainment, education, and human connection, along with the documented effects on brain development and perception. Learn what developers know about addiction mechanics and identity formation in virtual spaces. 
  Technological literacy is no longer optional. 
  This guide cuts through techno-optimism and fear-mongering to provide balanced, evidence-based insights into the technologies redefining our world. Understand not just how these innovations work, but how they're changing us.

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  Seismology - Earthquakes:...

  Mike Crawford

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  Seismology is the scientific study of earthquakes and the propagation of seismic waves through the Earth. It plays a crucial role in understanding the planet’s internal structure, predicting seismic hazards, and developing mitigation strategies. The field has evolved over centuries, combining geological observations with advanced instrumentation to analyze the forces that shape the Earth's surface. 
  The Earth's internal structure consists of the crust, mantle, outer core, and inner core. These layers play a fundamental role in the behavior of seismic waves. The crust, the outermost layer, is broken into tectonic plates that move slowly over the more fluid mantle beneath. This movement generates stress along fault lines, eventually leading to earthquakes. The mantle, composed of semi-solid rock, allows for convection currents that drive plate tectonics. The outer core, a molten iron layer, generates Earth's magnetic field, while the solid inner core remains a mystery due to its extreme conditions. 
  Seismic waves are the energy waves generated by earthquakes and other seismic events. They are classified into body waves and surface waves. Body waves, which travel through the Earth’s interior, include primary (P) waves and secondary (S) waves. P-waves are the fastest and travel through both solids and liquids, while S-waves move slower and can only propagate through solids. Surface waves, which travel along the Earth's crust, are responsible for most of the destruction during an earthquake.

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  Artificial Intelligence and...

  Ben Rizer

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  "Artificial Intelligence and Generative AI for Beginners: A Comprehensive Introduction to the Fundamentals, Practical Applications, and Future Trends of AI Technologies" is your essential guide to understanding the world of artificial intelligence. This book is designed specifically for newcomers to AI, offering a clear and engaging introduction to both foundational concepts and advanced topics in the field. 
  Starting with the basics, the book provides a thorough overview of artificial intelligence, including key principles, core algorithms, and essential technologies. You will learn about machine learning, neural networks, and the crucial differences between AI, machine learning, and deep learning. 
  The second part of the book delves into generative AI, exploring how these cutting-edge technologies can create new content, from images to text, and their applications in real-world scenarios. Through practical examples and case studies, you will gain insights into how generative models work and their potential to transform industries. 
  Finally, the book looks ahead to future trends in AI, including emerging technologies, ethical considerations, and the impact of AI on various sectors. Whether you're a student, a professional looking to pivot into AI, or simply curious about the potential of these technologies, this comprehensive guide will equip you with the knowledge and skills to navigate the evolving landscape of artificial intelligence. 
  With clear explanations, practical advice, and up-to-date information, this book is the perfect starting point for anyone looking to understand and harness the power of AI. 
   

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