Other books that might interest you

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  Fake ID - How AI and Identity...

  Abdu Murray

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  [Features extensive bonus content only available in the audiobook edition] 
  This groundbreaking exposé of how artificial intelligence and gender ideology undermine our view of reality helps us cut through the chaos and find the hope we’re looking for. 
  We hear that technology will set us free and that identity is whatever we choose. What we’re not being told is how these promises unravel reality itself, leaving us restless and confused in a world where we can no longer tell what is true. 
  Christian thought leader Abdu Murray shows us how the ancient, yet timeless wisdom of Scripture anchors us to transcendent truth as we navigate today’s cultural tsunamis. This fascinating book empowers us to:Think critically and ethically about AI and gender identityUnderstand why we are neither biochemical machines nor gods of our own makingDiscern what is real apart from cultural influence and pressureBe who God calls us to be rather than who culture tells us to beApply biblical truth to our understanding of what it means to be human 
  A compassionate guide to finding scientific and moral clarity, Fake ID equips us to think clearly, love deeply, and live with unshakeable hope.

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  Not with a Bug But With a...

  Ram Shankar Siva Kumar, Hyrum...

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  A robust and engaging account of the single greatest threat faced by AI and ML systems. 
   
   
   
  In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes. 
   
   
   
  Based on hundreds of interviews of academic researchers, policy makers, business leaders and national security experts, the authors compile the complex science of attacking AI systems with color and flourish and provide a front row seat to those who championed this change. Grounded in real world examples of previous attacks, you will learn how adversaries can upend the reliability of otherwise robust AI systems with straightforward exploits.

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  Imminent Domains - Reckoning...

  Alessandra Naccarato

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  Imminent Domains: Reckoning with the Anthropocene invites readers to join a contemplation of survival—our own, and that of the elements that surround us. Using research, lyric prose, and first-hand experiences, Alessandra Naccarato addresses fundamental questions about our modern relationship to nature amidst depictions of landscapes undergoing dramatic transformation.
  We trace the veins of harm, memory and meaning amongst ecosystems and bioregions; through history and across continents, from the mines of Cerro Rico to the ruins of Pompeii. Arranged by five central elements of survival—earth, fire, water, air and spirit—these essays refute linearity, just as nature does.
  Naccarato offers not blanket answers about our future, but rather myriad ways to find our own, individual response to an imminent question. We are being called to work together; to dig a trench deep and wide enough that the fires around us might stay at bay. How do we turn towards the fire?

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  HowExpert Guide to Birdwatching...

  HowExpert, Hazel Hall

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  If you want to learn how to birdwatch, identify birds, and become a better birdwatcher, then check out HowExpert Guide to Birdwatching. 
  HowExpert Guide to Birdwatching is a great way to gain deeper insight into some of the world's most interesting animals: birds. This guide has been written by an everyday expert with a passion for birds who, at one point, was also hoping to jump into the hobby of birding. At times, it can be difficult to start birdwatching. However, talking and learning from others can help! 
  This guide is organized with 101 tips to help you get better at birdwatching and become a master of identification, discovery, and birding science. There is advice from where to go birding to how to help birds out in the wild! You'll learn about how birds survive and how their wonderful evolutions have made them some of the most resilient animals on the planet. Whether you are just starting to bird or are already a master, this guide has tips and tricks that will help you get even better! 
  HowExpert Guide to Birdwatching includes: 
  - 101 tips about birdwatching from the perspective of an avid birdwatcher, arranged in a way that will help you advance your birding passion 
  - Detailed descriptions and stories from first-hand birding experiences 
  - Advice and ways to help birds in their natural habitat 
  Check out HowExpert Guide to Birdwatching if you want to learn how to birdwatch, identify birds, and become a better birdwatcher. 
  About the Author 
  Hazel Hall has been a writer and avid birdwatcher for over seven years. She lives in rural New Hampshire, where she is currently in college. She is studying English and hopes to pursue a career in creative writing. Her love for animals, both domestic and wild, mixes heavily into all of her works. 
  HowExpert publishes how to guides by everyday experts. Visit HowExpert.com to learn more.

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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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  James Webb Space Telescope...

  Martin K. Ettington

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  The James Webb Space Telescope or JWST was launched on Christmas in 2021 to provide the most sensitive telescopic views of the Universe. 
  It has already revolutionized our real world views of the early Universe and these observations question our current theories of the creation of the Universe. 
  This book gets into the history of the JWST, the instruments it carries, new observations, and ideas of what these anomalies mean. 
  We review some of the most important observations made to date, and finally, some theories of how to explain these incredible views of the early reality of the Universe. 
  There are also some other anomalies in Space which are mentioned which were known before the JWST existed which also question the current Big Bang paradigm. 
  We are living in a revolutionary period of Astronomy much like the questions which occurred to Astronomers and Physicists in the early 20th Century which led to the theories we have today on Universe creation. 
  I’m sure that new paradigms will be the result of the current confusion which will contribute to new theories and better understandings of the world we live in.

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