Other books that might interest you

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  The Wood That Built London - A...

  C.J. Schüler

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  It is hard to imagine that the busy townscape of South London was once a great wood, stretching almost seven miles from Croydon to Deptford or that, scattered through the suburbs, from Dulwich to Norwood, a number of oak woodlands have survived since before the Norman Conquest. These woods were intensively managed for a thousand years, providing timber for construction, furniture and shipbuilding, and charcoal for London's blacksmiths, kilns and bakeries. Now they afford important green space, a vital habitat for small mammals, birds and insects.Drawing on a wealth of documents, historic maps and environmental evidence, The Wood That Built London charts the fortunes of the North Wood from its earliest times: its ecology, ownership, management, and the gradual encroachment of the metropolis.

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  Brewing

  Alfred Chaston Chapman

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  Great as is the debt of gratitude which the brewing industry owes to the labours of scientific men, it has been more than repaid by the immense services which that industry has indirectly rendered to the advancement of modern science. It may be said without exaggeration that in respect of the number of scientific investigations of the first order of importance to which it has given rise, the brewing industry stands easily preeminent among the industries of mankind, and that without the stimulus furnished by the desire to arrive at the meaning of some of the more important phenomena connected with the brewing of beer, both chemical and biological science would probably be the poorer today by some of their most valued intellectual achievements. . . . The brewing of beer is regarded by many as an operation of a simple and more or less mechanical description, which is not of sufficient importance to merit study or of sufficient interest to claim a share of their attention. It is in the hope of doing something, even though it be but little, to correct this widely spread impression, that I have most willingly accepted the invitation to contribute this little work to The Cambridge Manuals of Science and Literature. From the Preface.

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  Secret to a Younger You - The 3...

  Bridghid McMonagle, Kaley Bourgeois

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  Frustrated by your frown lines? You deserve a natural, non-toxic option to help you regain your youth and your confidence. Don’t wait to pursue:Improved texture and better skin toneFirmer skin on your face, neck, chest, and handsDrastically minimized fine lines and wrinklesSofter, less visible scarsDr. Bridghid McMonagle and Dr. Kaley Bourgeois designed their protocol to help you look your best without botox, synthetic fillers, or surgery. With Activated Platelets and Ozone, you can look better, and Secrets to a Younger You tells you how.Prioritize the health of your skin today!

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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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  The American Robin

  Roland H. Wauer

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  The American Robin is North America's most widespread songbird, with a range extending from Alaska, Canada, and Newfoundland to the highlands of Mexico and Guatemala. Its ruddy red breast and cheerful song have also made it one of our most beloved birds—as American as apple pie, as familiar a harbinger of spring as the first daffodil. Connecticut, Michigan, and Wisconsin have chosen the American Robin as their state bird, while a pair of robins grace the Canadian two dollar bill. In this book, Roland Wauer offers a complete natural history of the American Robin for a popular audience. Combining his own observations as a field naturalist with data gleaned from the scientific literature, he describes the American Robin from every angle—appearance and biology, distribution, behavior, life cycle, and enemies and threats. In addition, he explores the legends and lore surrounding robins and offers suggestions for attracting them to your yard.

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  From Exploitation to Friendship:...

  Doug Thompson, Robin Kobaly,...

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  As Robin Kobaly explains, "When we come back from wilderness, that's when we seem to bring our best inspirations to help humankind, and our own selves, too. If we don't have that wilderness to go to, that refuge and that wellspring, we will not be as good a people, a society, or a race."

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