Other books that might interest you

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  Farewell -- But Whenever --

  Thomas Moore

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  Librivox volunteers bring you seven readings of Farewell! – But Whenever – by Thomas Moore.  This is the fortnightly poetry project for October 12, 2014.

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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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  Live Longer Thrive Better:...

  Ronan Ashby

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  Live Longer, Thrive Better: Secrets from the World’s Healthiest People 
  ⭐⭐ Simplified Audio Guide with Explanations ⭐⭐ 
  Are you eager to enhance your well-being and uncover the secrets to a healthier, more vibrant life? 
  Searching for a thorough guide that equips you with all the necessary tools for a transformative journey toward better living?  
  Look no further! 
  This audiobook serves as your ultimate companion for exploring life-changing habits, applying practical strategies, and engaging in enlightening exercises. With this resource, you're set up for success. 
  Updated for the latest health insights and best practices. 
  Key features of this enriched guide: 
  - In-depth insights into the secrets of the world's healthiest individuals  
  - Comprehensive explanations of essential health and wellness concepts  
  - Effective strategies for adopting and maintaining transformative habits  
  This guide stands out due to its extensive coverage, which is crucial for achieving your wellness goals. The concepts are explored thoroughly, ensuring you gain a complete understanding of each topic. 
  This resource is entirely independent and serves solely to empower you on your journey to better health. 
  Crafted with a clear structure and accessible language, our guide promotes smooth transitions between ideas. Say goodbye to convoluted terminology and embrace straightforward, precise, and informative content. 
  So, why wait? Click the BUY NOW button, secure your audiobook, and embark on your path to a healthier, more vibrant life!

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  Bracing for the Storm - A West...

  Brock Kingsley

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  When the skies darken and the winds pick up, what's your plan? Living in West Florida means that hurricanes are an inevitable part of life. But with the right knowledge and preparation, they don't have to be a catastrophe. Bracing for the Storm: A West Florida Hurricane Survival Guide is your all-encompassing resource, designed to help you prepare, act, and recover like a pro. Don't leave your safety to chance. Learn from the experts how to assess your risk, prepare your home, and most importantly, protect your family. This book delves deep into the science of hurricanes, breaking down complicated meteorological terms into easy-to-understand language. You'll get the inside scoop on how to read hurricane forecasts, what to expect from different categories of storms, and when it's time to hunker down or evacuate. 
   
  Did you know that preparing your home can make a significant difference in how well you fare during a storm? Our comprehensive guide walks you through home inspections, modifications, and even DIY fixes to ensure your safety. From securing windows and shutters to fortifying your roof, you'll get step-by-step instructions for making your home a fortress. Plus, we've included an emergency supplies checklist so you won't forget the essentials. Whether you're riding out the storm at home or evacuating, this book has you covered. Learn how to develop an effective evacuation plan, choose the best route, and what to pack in your evacuation kit. Special chapters focus on unique considerations for families with children, senior citizens, and pets. 
   
  Post-storm recovery can be just as challenging as the hurricane itself. You'll find invaluable advice on assessing damage safely, dealing with insurance claims, and even coping with the psychological effects of a natural disaster. Community resources and volunteer opportunities are also highlighted, empowering you to help your neighbors and rebuild stronger than ever. 

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  Pytorch - Building AI Models...

  James Henry

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  Unlock the power of PyTorch, one of the most dynamic and flexible deep learning frameworks in the world of artificial intelligence. PyTorch: Building AI Models with Ease and Flexibility is a comprehensive guide that takes readers on a journey from the fundamentals of PyTorch to advanced applications in AI research and industry. 
  Designed for AI enthusiasts, researchers, and professionals alike, this book offers a hands-on, practical approach to learning PyTorch. Starting with the basics of tensor operations and automatic differentiation, readers will quickly grasp how to build, train, and optimize deep learning models. Each chapter introduces progressively complex concepts, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced techniques like transfer learning, GANs, and reinforcement learning. 
  Key highlights include:Step-by-step tutorials for building neural networks from scratchIn-depth explanations of PyTorch's dynamic computation graph and AutogradAdvanced topics in model deployment, distributed training, and reinforcement learningReal-world applications in NLP, computer vision, and AI researchBest practices for optimizing PyTorch models and enhancing performance 
  PyTorch: Building AI Models with Ease and Flexibility is not just about learning a framework—it's about understanding how to apply PyTorch effectively to solve complex problems, innovate in AI research, and take your machine learning projects to the next level. Whether you are a beginner or an experienced AI practitioner, this book is your essential companion in mastering PyTorch and building cutting-edge AI models.

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  Elements of Mammalogy

  William Ruschenberger

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  The Elements of Mammalogy is one of seven in a Series of First Books of Natural History Prepared for the Use of Schools and Colleges. This succinct little textbook from 1845 presents an introduction to mammalogy. The information, albeit not current, is still interesting and of use as a general overview of mammal biology. The classification of mammals has changed considerably since this time. The author was a surgeon in the U.S. Navy and president of the Academy of Natural Sciences. (Summary by A. Gramour)

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