Altri libri che potrebbero interessarti

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  Majestic 12: The History and...

  Editors Charles River

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  When people think about unidentified flying objects (UFOs), they tend to think of flying discs piloted by gray beings with large heads and enormous eyes. They tend to think that these sightings only started relatively recently and that belief in UFOs is some sort of modern religion brought on, perhaps, by the very justifiable fears of a nuclear age. But a study of the phenomenon quickly reveals that people have been seeing UFOs since the beginning of recorded history and perhaps a lot longer than that. 
  	Naturally, as technological advances and the creation of flying aircraft became realities, the sighting of UFOs increased, as did the interest in potential contact with aliens.  Some of the American investigations of UFOs from the 1940s and 1950s were documented, but nothing exemplifies the debate between those who believe that extraterrestrials visit the Earth and skeptics than the top secret papers that emerged in the 1980s and seemed to prove the existence of a shadowy secret organization known as MJ-12 or Majestic 12. To believers, these papers proved beyond a doubt not only that UFOs were real and of extraterrestrial origin, but also that the federal government had been aware of this since the 1940s and had even managed to recover one or more crashed alien spacecrafts. To skeptics, this notion simply proved how gullible UFO believers were. There was no middle ground - people either believed in the MJ-12 papers completely or laughed at them. 
  	Decades later, it’s finally possible to take a more balanced view of the history of the MJ-12 papers, including where these documents originated from and who created them. It now seems virtually certain that there never was an organization called Majestic 12 and that the papers describing it were faked, but what makes the story truly fascinating is that it now also appears likely that these papers were faked by people actually working within the Air Force or another government agency.

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  What Makes Us Human - An...

  GPT-3, Iain Thomas, Jasmine Wang

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  A groundbreaking endeavor to explore human spirituality through the evolving technology of artificial intelligence

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  History of Agriculture: A...

  Ruchini Kaushalya

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  Explore the evolution of agriculture from its origins to its modern global impact in "History of Agriculture: A Journey from Subsistence to Global Industry." This engaging audiobook delves into the transition from hunter-gatherer societies to settled farming communities and examines the innovations that transformed agriculture, such as irrigation and crop rotation. 
  Learn about the agricultural revolutions that reshaped societies, the rise of mechanization, and the challenges of sustainability and food security. Through vivid anecdotes and thorough research, this audiobook chronicles agriculture's profound influence on human development, offering insights into our past, present, and future relationship with the land. Perfect for history enthusiasts, agriculture professionals, and anyone curious about the roots of our sustenance. 
  Top of Form

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  Big Techs Hi 5

  Mike Blake

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  Big Techs: Hi 5  (Social Media Book 2) 
  A Poem about : The 5 Biggest 'Tech' Companies in the Western World. 
  In Chrono order: Microsoft, Apple, Amazon, Facebook (Meta), Alphabet (Google). 
  A brief overview of these 5 biggest Social Media Tech companies and their emergence in chronological order. 
  As they came springing forth as the Internet developed.. 
  https://www.amazon.com/dp/B09RW7WS43

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  SQL Symphony: A Beginner's Guide...

  Christopher Wilson

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  If you want to become an expert in SQL and database management, "SQL Symphony: A Beginner's Guide to Database Management: Harmonizing Data Queries and Manipulation" is a must-have book. This book provides a thorough introduction to SQL. It is ideal for anyone interested in learning more about the language, be it software development, data analysis, or general curiosity about how data is structured and accessed. 
  The book begins with an explanation of databases and SQL's vital function in their management. Every chapter expands on the one before it, progressively presenting increasingly complex ideas and methods. You will gain knowledge of data types and schemas, write and run SQL queries, and utilize sophisticated query strategies like joins subqueries and aggregate functions. 
  This book goes beyond querying to cover data manipulation and transaction management, including how to use transactions to insert, update, and remove data while preserving data integrity. Along the way, you'll learn about the fundamentals of database design and normalization and develop the ability to create effective, normalized databases. 
  With its abundant real-world examples and interactive exercises, "SQL Symphony" guarantees that you will develop your confidence and real-world experience with SQL. After reading this book, you'll know how to quickly turn unstructured data into insightful knowledge and solve database administration problems. 
  Experience the harmony of queries and manipulation as we construct potent, data-driven solutions in this symphony of data management.

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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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