D'autres livres qui pourraient vous intéresser

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  Chickens: An Antidote to Life’s...

  Tedra Hamel

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  In this 2024 conversation with Justine Willis Toms, Tedra Hamel tells us that keeping chickens in an urban setting has become increasingly popular in recent years. They not only produce eggs, they give us the delightful pleasure of their company. When feeling stressed and anxious just take a moment or two to pull up a chair outside a chicken coop and let these feathered friends entertain you, erase your anxiety, and connect you to nature. Chickens are full of surprises in their intelligence and emotional capacity, their gorgeous feathers and variety of colors, and their inquisitiveness. Chickens even dream, dance, and meet in circles. Flocks of chickens are even being used for emotional support in care facilities. They help us feel less lonely as we delight in observing their highly social behavior. Here we explore the therapeutic benefits of chickens in promotin emotional comfort, connecting us to nature, and adding fresh eggs to our diet.  
  Tedra Hamel (known as Teddi) is a critical care nurse in Washington state and a backyard chicken enthusiast. Through the inspiration of her feathered friends she has become an artist, and her hens have established some fame on Instagram. She is the author and artist illustrator of Therapy Chickens: Let the Wisdom of the Flock Bring You Joy (Quarto Publishing Group 2024) 
  Interview Date: 3/20/2024   Tags: Tedra Hamel, pecking order, chicken coops, roosting, chicken poop as fertilizer, egg laying, Hen Power, community chicken coops, Animals, Community, Ecology/Nature/Environment, Personal Transformation

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  Epic of the Earth - Reading...

  Edith Hall

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  The roots of today's environmental catastrophe run deep into humanity's past. Through this unprecedented reading of Homer's Iliad, the award-winning classicist Edith Hall examines how this foundational text both documents the environmental practices of the ancient Greeks and betrays an awareness of the dangers posed by the destruction of the natural landscape. Underlying Homer's account of brutal military operations, alliances, and cataclysmic struggle is a palpable understanding that the direction in which humanity was headed could create a world that was uninhabitable. 
   
   
    
  Hall provides unparalleled insight into the ancient origins of climate change and argues that the Iliad exposes the deepest contradictions behind the environmental problems we have created. Indeed, it is possible that some of the violence done to the environment throughout history has been authorized, if not exacerbated, by the celebration of the exploitation of nature in Homer's poem. Drawing compelling analogies to contemporary poetry, literature, and film, Hall demonstrates that the Iliad, as a priceless document of the mindset of early humans, can help us understand the long history of ecological degradation and inspire activism to rescue our planet from disaster.

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  The Missing Training Manual -...

  Michael A Goedeker

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  "The Missing Training Manual: Security Operations Center", addressed the gap between the theoretical knowledge and practical skills required for SOC analysts. The book provides a comprehensive guide to SOC Operations, covering topics such as threat intelligence analysis, incident response, and vulnerability management, among other areas.

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  Social AI Revolution - Winning...

  D Nathan Venture

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  Embark on a Digital Odyssey: Become a Maestro of AI-Enhanced Creativity 
   
  In the ever-evolving realm of social media, there lies an untapped frontier – the intersection of artificial intelligence and content creation. Imagine wielding the transformative power of AI to not only participate but dominate social media engagement. "Social AI Revolution: Winning Tactics for the Smart Content Creator" is your ultimate guide to mastering this digital renaissance. As you embark on this riveting journey, you will unravel the pioneering tactics that will crown you the sovereign of smart content creation. 
   
  Navigate the nascent landscape of Social AI with a keen, strategic outlook that delineates the future of digital interaction. Chapter 1 invites you to comprehend the seismic shift AI is causing in social media dynamics – a requisite understanding for any modern content creator. Where others grapple with change, you will be welcoming it with open arms and a shrewd mind. 
   
  From unearthing the quintessential tools that beckon success to painting the grand picture of your AI-augmented social media strategy, every chapter unfurls critical insights. With a focus on leveraging AI for heartbreaking personalization and distribution efficiencies, you’ll learn how to craft content that resonates deeply – honing in on your audience like never before. 
   
  Whether you're eyeing the viral zenith or the pragmatic gains from monetization, your approach will be revolutionized. Equip yourself with "Social AI Revolution: Winning Tactics for the Smart Content Creator" and transform from a mere participant into a vanguard of the content frontier. The future isn't just coming; with this book in your arsenal, you are the future.

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  Smart Rivals - How Innovative...

  Bonnie Yining Cao, Feng Zhu

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  A new, researched-based look at how traditional or smaller companies can better compete with Big Tech on their own terms 
   
   
   
  Companies are fighting the wrong battle. The consensus has been to learn the best practices from Big Tech and imitate them. But new paths for growth aren't created by imitation; they're forged by radical differentiation. 
   
   
   
  In Smart Rivals, Harvard Business School professor Feng Zhu and former Bloomberg journalist Bonnie Cao show business leaders how to create new competitive advantages by offering product features and benefits that tech giants and other competitors cannot match. 
   
   
   
  Zhu and Cao bring listeners across the globe, revealing how big conglomerates—Coca-Cola, Ping An, and AB InBev—and scrappy upstarts—an Italian toll payment platform, a Chinese footwear retailer, a Nigerian media company, and scores of others—have managed to thrive by tapping into their unique capabilities. 
   
   
   
  Based on original research and insights gleaned from leaders in a wide-range of industries, Smart Rivals will help you find new capabilities that mere imitation could never provide and lead to new products, services, strategies, and advantages.

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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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