Weitere Bücher, die Sie mögen werden

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  Human Physiology - A Very Short...

  Jamie A. Davies

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  Physiology is the science of life, and sets out to understand how living things work and what makes them distinct from the non-living. It considers how our bodies are supplied with energy, how they maintain their internal parameters, the ways in which we gather and process information, the ways we take action, and the creation of new generations.This Very Short Introduction explores the field of human physiology, considering how the body works, senses, reacts, and defends itself. As Jamie A. Davies shows, human life (and indeed, all life) is sustained by the interplay of a wide variety of physiological mechanisms and principles. He discusses the physiological experiments and research undertaken to understand these processes, and analyzes the ethical issues involved. He also considers the evolution of the scientific field itself, showing how enhanced understandings of physiological knowledge can help inform medical research and care.

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  Climate Crisis and the Global...

  Noam Chomsky, Robert Pollin,...

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  An engaging conversation with our most respected public intellectual around how a global Green New Deal has the potential to save humanity and the planetThe environmental crisis under way is unique in human history. It is a true existential crisis. Those alive today will decide the fate of humanity. Meanwhile, the leaders of the most powerful state in human history are dedicating themselves with passion to destroying the prospects for organized human life. At the same time, there is a solution at hand, which is the Green New Deal. Putting meat on the bones of the Green New Deal starts with a single simple idea: we have to absolutely stop burning fossil fuels to produce energy within the next thirty years at most; and we have to do this in a way that also supports rising living standards and expanding opportunities for working people and the poor throughout the world. This version of a Green New Deal program is, in fact, entirely realistic in terms of its purely economic and technical features. The real question is whether it is politically feasible. Chomsky and Pollin examine how we can build the political force to make a global Green New Deal a reality.

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  Teach for Climate Justice - A...

  Tom Roderick

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  In Teach for Climate Justice, accomplished educator and social and emotional learning expert Tom Roderick proposes a visionary interdisciplinary and intersectional approach to PreK–12 climate education. He argues that meaningful instruction on this urgent issue of our time must focus on climate justice—the convergence of climate change and social justice—in a way that is emotionally safe, developmentally appropriate, and ultimately empowering. Drawing on examples of real-life educators teaching climate change, Roderick identifies eight key dimensions of climate education that will prepare students to face the challenges of the climate crisis and give them the means to take action. These dimensions include not only educating for a deep understanding of the scientific, geopolitical, and socioeconomic equity issues that surround global warming, but also cultivating appreciation for the environment, building a supportive community, and fostering active hope for the future. In support of this crucial endeavor, Roderick suggests evidence-based teaching strategies, practices that promote inclusivity, and tools for social and emotional learning. This timely and uplifting book lays out a powerful vision for teaching, learning, and curriculum development to nurture a generation of courageous, informed advocates for climate justice.

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  Hands-on ML Projects with OpenCV

  Mugesh S.

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  Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning.
  
  KEY FEATURES 
  - Step-by-step instructions and code snippets for real world ML projects.
  - Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization
  - Loaded with practical tips and best practices for implementing machine learning with OpenCV for optimising your workflow.
  
  DESCRIPTION
  This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. 
  
  Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. 
  
  By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. 
  
  Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python.
  
  WHAT WILL YOU LEARN 
  - Learn how to work with images and perform basic image processing tasks using OpenCV. 
  - Implement machine learning techniques to computer vision tasks such as image classification, object detection, and image segmentation. 
  - Work on real-world projects and datasets to gain hands-on experience in applying machine learning techniques with OpenCV. 
  - Explore the concepts of deep learning using Tensorflow and Keras and how it can be used for computer vision tasks. 
  - Understand the concept of transfer learning and how pre-trained models can be leveraged for new tasks. 
  - Utilize techniques for model optimization and deployment in resource-constrained environments. 
  - Implement end-to-end solutions and address challenges encountered in practical scenarios.
  
  WHO IS THIS BOOK FOR?
  This book is for everyone with a basic understanding of programming and who wants to apply machine learning in computer vision using OpenCV and Python. Whether you're a student, researcher, or developer, this book will equip you with practical skills for machine learning projects. Some familiarity with Python and machine learning concepts is assumed. Beginners too will find this book valuable as it offers clear examples and explanations for every concept.
  
  TABLE OF CONTENTS 
  Chapter 1: Getting Started With OpenCV 
  Chapter 2: Basic Image & Video Analytics in OpenCV
  Chapter 3: Image Processing 1 using OpenCV
  Chapter 4: Image Processing 2 using OpenCV
  Chapter 5: Thresholding and Contour Techniques Using OpenCV 
  Chapter 6: Detect Corners and Road Lane using OpenCV
  Chapter 7: Object And Motion Detection Using Opencv
  Chapter 8: Image Segmentation and Detecting Faces Using OpenCV
  Chapter 9: Introduction to Deep Learning with OpenCV
  Chapter 10: Advance Deep Learning Projects with OpenCV
  Chapter 11: Deployment of OpenCV projects

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  Relativity and Quantum Physics...

  Steven L. Manly

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  As we humans have expanded our horizons to see things vastly smaller, faster, larger, and farther than ever before, we have been forced to confront preconceptions born of the human experience and create wholly new ways of looking at the world around us. The theories of relativity and quantum physics were developed out of this need and have provided us with phenomenal, mind-twisting insights into the strange and exciting reality show of our universe.Relativity and Quantum Physics For Beginners is an entertaining and accessible introduction to the bizarre concepts that fueled the scientific revolution of the 20th century and led to amazing advances in our understanding of the universe.

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  101 Amazing Facts about Sharks

  Jack Goldstein

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  How good is a shark’s sense of hearing? What is the word that means ‘fear of sharks’? How can you tell when a shark is about to attack? And how dangerous are sharks compared to coconuts? 
  In this fascinating audiobook, narrator Jason Zenobia answers all these questions and more as he talks us through over 100 facts about sharks. Covering subjects such as shark attacks, conservation, myths, record breakers and much more, this is the perfect audiobook for everyone, shark fan or not!

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