Altri libri che potrebbero interessarti

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  Pollution - The Environmental...

  Marcus Klein

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  Pollution is a pervasive and urgent global issue that affects every corner of the planet, from the air we breathe to the water we drink and the land we depend on for survival. Over the past century, the rapid pace of industrialization, urbanization, and population growth has contributed significantly to environmental degradation. What was once seen as the price of progress has now become a formidable challenge that threatens the health of humans, animals, and ecosystems alike.  
    
  The scope of pollution is vast and multifaceted. It encompasses a wide range of pollutants, including chemicals, plastics, heavy metals, and greenhouse gases, which infiltrate the air, water, and soil. While air pollution from vehicle emissions and industrial activities poses immediate health risks, water pollution contaminates vital freshwater resources, threatening marine ecosystems and human livelihoods. Land pollution, driven by improper waste disposal and deforestation, further exacerbates the crisis by depleting soil fertility and destroying habitats. Together, these forms of pollution create a complex web of environmental and health hazards that demand immediate attention.  
    
  Human health is intricately tied to the environment, making pollution a direct and indirect cause of numerous diseases and conditions. Respiratory ailments, cardiovascular issues, and neurological disorders are increasingly linked to exposure to polluted air and toxic chemicals. Vulnerable populations, such as children and low-income communities, bear a disproportionate burden of these impacts, amplifying social inequalities. Beyond physical health, the psychological toll of living in a degraded environment adds another layer of complexity to the crisis. 

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  Machine Learning with Python -...

  Alexander Cane

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  Ways to combat retraining depend on the algorithm and consist of the correct values of the trainer's met parameters. In practice, model estimation is not performed on the same input data that was used to train the model. Divide 10-20% of all available data into a separate set and call it a set for evaluation. We will bring the other 10-20% into the set for ratification, and 60-80% of the remaining ones will be given to the trainer. The principle of data sharing depends on the data and the task. Random sampling is often a good method if inputs are independent of each other, and there is no strong imbalance between the number of positive and negative entries. 
  The intuitive analogy here is the same as with university studies: the teacher solves some problems with students in pairs and gives other’s similar tasks in the exam. What is important here (both in teaching students and models) is that these tasks are varied, and students cannot simply memorize the answers, and those who have mastered the material (similar tasks) will be able to repeat the thought process and answer correctly. 
  In machine learning, we split into data two sets: we will use the evaluation set to evaluate each model we train, using different approaches, algorithms, and model types to select the best one. That is, for each model, we will have two precision values - precision on the training dataset and precision on the evaluation dataset. It is normal for the former to be higher than the second, but not significantly. A big difference indicates retraining.

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  Nine Algorithms That Changed the...

  John MacCormick

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  This audiobook narrated by Quentin Cooper explains the tricks behind nine revolutionary algorithms that power our computers and smartphones
  
  Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? John MacCormick answers this question in language anyone can understand, using vivid examples to explain the fundamental tricks behind nine computer algorithms that power our PCs, tablets, and smartphones.

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  How Antigravity Built the...

  Nick Redfern

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  Discover the Lost Secrets of the Ancients and the Time When Stones Floated High over Egypt   Throughout history, folklore, and mystery, tales have circulated of massive stones being moved through the air effortlessly by sound. Bizarre? Well, yes, it is. That doesn't take away the fact that sound was, and still remains, the key to the construction of the pyramids of Egypt, Stonehenge, the stone figures of Easter Island, and the massive stones at Baalbek, Lebanon. Were they the work of ancient humans or of equally ancient extraterrestrials?How Antigravity Built the Pyramids delves into specific stories and theories:• A 9th-century story of a mysterious papyrus with the power to move large stones at the Giza Necropolis • The Mayan story of the construction of the Pyramid of the Magician said to be overseen by a small humanoid who could whistle large stones into place • Native American stories of ancient priests being able to make stones light to move easily    Author Nick Redfern argues it was not literally music and whistling that somehow raised large stones, but both have one thing in common: sound. Acoustics. Almost certainly, acoustic levitation was at the heart of these incredible feats. The truth of the science behind acoustic levitation was lost and forgotten for ages with little more left than fanciful tales of music, whistles, a curious papyrus, and strange metal rods that could achieve incredible feats in the air. Today, we are finally starting to get a grasp on this incredible technology, a technology that may have been the work of ancient humans, aliens from faraway worlds—or, perhaps, a combination of the two.

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  Artificial Intelligence

  Geeta Zunjani

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  Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, 
  AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. 
  
  KEY FEATURES 
  - National Education Policy 2020 
  - AI Game: It contains an interesting game or activity for the students to try on their own or with their classmates to learn how the game mechanics work while having fun. 
  - Brainy Fact: It presents an interesting fact relevant to the topic or the chapters. 
  - AI in Life: It presents questions that promotes the moral growth and experiential learning. 
  - AI Deep Thinking: It presents a question/scenario in which the students are required to think deeply and apply their knowledge. 
  - Digital Solutions 
  
  DESCRIPTION 
  Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. Every chapter has competency based questions as guided by CBSE to ensure that students are capable of applying their learning to solve some real life challenges. 
  There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. There are some brainstorming questions in the form of AI Task in between the topics to ensure that students give pause to their learning and use their skills to reach to some creative ideas in solving given problems. 
  
  WHAT WILL YOU LEARN 
  You will learn about: 
  - Introduction to AI 
  - Pioneers of AI 
  - Domains of AI 
  - Fields of AI 
  - Future of AI 
  
  WHO THIS BOOK IS FOR 
  Grade 7 
  
  TABLE OF CONTENTS (Numbered list) 
  1. Introduction to AI 
  2. Pioneers in the field of AI 
  3. Domains of AI 
  4. Fields of AI 
  5. Concept of Smart Living 
  6. Future of Artificial Intelligence 
  7. AI Ready 
  8. Projects 
  9. AI Glossary 
  10. AI Innovators

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  The RoboSphere - Robots Among...

  Zoe Carter

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  Get ready for an exciting trip into the future with "The RoboSphere: Robots Among Us - Insights into the World of Robotics and Automation." This book is your pass to a fantastic investigation into robotics's state-of-the-art discoveries and life-changing effects. 
  Explore the intriguing history of robotics, from mechanical devices to the intelligent machines that are a seamless part of our everyday lives. "Robots Among Us" appeals to science buffs, tech enthusiasts, and anybody who wants to learn more about the quickly changing field of automation. Whether you're a seasoned expert or a curious beginner, this book is designed to be accessible and engaging for all levels of technical knowledge. 
  Learn about the nuances of critical elements, categories, and the range of robots that coexist in our environments today. This book explores the worlds of possibility and potential, from industrial applications reshaping the manufacturing landscape to service robots improving our everyday lives, igniting curiosity about the significant consequences of these intelligent machines.

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