Altri libri che potrebbero interessarti

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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 Black Death - Plague and...

  Harris Ropes

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  The story of the Black Death begins long before it reached the shores of Europe. At the heart of the devastation was a bacterium called Yersinia pestis, the microorganism responsible for one of the deadliest pandemics in human history. This pathogen is believed to have originated in the arid plains of Central Asia, where it lived in a natural reservoir within rodent populations, particularly marmots. These animals, though mostly isolated in remote areas, became the starting point for a chain of transmission that would eventually span continents. 
  Early outbreaks of plague-like illnesses were recorded in China and other parts of Asia as early as the 13th century, suggesting that the bacterium was already circulating in the region. However, it was the growing network of trade routes, especially the Silk Road, that allowed the disease to move rapidly from one community to another. Merchants, caravans, and travelers unknowingly carried infected fleas and rats from one trading hub to the next, creating a direct path for the disease to follow. 
  One of the most significant early episodes linked to the Black Death's arrival in Europe occurred during the Mongol siege of the Crimean city of Caffa (modern-day Feodosiya) in 1346. According to some historical accounts, the Mongols, after suffering an outbreak in their own ranks, used the infected corpses of their dead as biological weapons by catapulting them over the city walls. While the historical accuracy of this account is debated, it symbolizes the critical role Caffa played as a point of transmission. From this port city, fleeing Genoese merchants are believed to have carried the disease back to Italy by ship, bringing the plague directly into European trading centers.

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  How ChatGPT Works ? -...

  Et Tu Code

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  ChatGPT, a groundbreaking AI language model, has revolutionized the world. This audiobook explores ChatGPT's language understanding and generation capabilities, its architecture, training methods, handling of user input, and ethical considerations. 
  ChatGPT, a transformer-based language model, generates human-like text responses using deep learning techniques. Trained on diverse text data, including books and articles, ChatGPT's architecture comprises an encoder and a decoder. 
  Fine-tuning adapts ChatGPT for specific tasks by adjusting parameters. It handles various inputs, from queries to complex conversations, and generates responses based on entire input texts. It's designed for diverse hardware, from servers to smartphones. 
  ChatGPT combines models and techniques like attention mechanisms and reinforcement learning. Reinforcement learning improves its performance over time, but ChatGPT has limitations, including struggles with certain inputs and occasional inaccuracies. 
  Future developments will likely enhance ChatGPT's sophistication, incorporating more data sources and refining deep learning techniques. Its applications span customer service, marketing, content creation, and translation. 
  User interaction with ChatGPT is intuitive, aiming for a natural experience. Ethical considerations include ensuring diverse training data and preventing biases in responses.

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  The Magic Beneath Our Feet -...

  MERLIN STAMETS, PAUL SHELDRAKE

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  The Magic Beneath Our Feet: Uncovering the Hidden World of Mushrooms! 
  Eureka! Welcome to the bewitching realm that exists right beneath our unsuspecting feet. In “The Magic Beneath Our Feet: Uncovering the Hidden World of Mushrooms,” we pull back the earthy curtains, revealing a kingdom teeming with wonders beyond your wildest dreams. Let's embark on this spore-tacular journey, shall we? 
  Mushroom Mysteries Unveiled: Think you know mushrooms? Think again. Venture beyond the ordinary button mushroom and encounter extravagant species, each carrying tales of lore, ancient medicine, and the secrets of nature’s intricate web. 
  Gastronomic Delights & Healing Allies: From truffles that are worth their weight in gold to humble fungi with unparalleled healing properties—get ready to elevate your culinary adventures and wellness regimes. It's gourmet and healing, all rolled into one! 
  Unfurling this narrative is akin to embarking on an epic odyssey across uncharted territories, where every turn uncovers a revelation, a mystery, or a miracle. “The Magic Beneath Our Feet” isn’t just an exposition—it's an exhilarating expedition. An awakening to the fascinating world that, while unseen, is very much alive, pulsating, and brimming with tales of nature's marvels. 
  So, lace up those hiking boots, grab your trusty field guide, and join us on this exhilarating journey. From the shadows of the forest floor to the bustling ecosystems of our own backyards, we’ll traverse landscapes and time, unearthing stories, wisdom, and a newfound appreciation for the incredible fungi among us. 
  Discover. Dream. Delve. The Fungi Frontier Awaits! 🍄📚🌲

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  Waters of Life - Fighting for...

  Tom Bowser

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  'From the moment that these waters were given back their beavers, I knew that I would never wish to return to the time when they were without them . . .'
  In November 2021, in a major moment in Scotland's history, a family of beavers was spared a death sentence and relocated to a Perthshire farm. Their arrival at Argaty, Tom Bowser's home, paved the way for a new era in human–beaver relations.
  In this deeply personal account, Tom tells of his attempts to save these incredible animals, of the support and opposition received and of the unimaginable gains that beavers ultimately brought to his home. He also explores the wider themes of rewilding and nature conservation in Scotland, meeting some of the leading lights of this exciting movement, highlighting the work they do, the challenges they face and showing why ecological restoration is so important for the future of our planet.

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  Second Lives - The Journey of...

  Ralph B. Lilly MD, Diane F....

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  One man’s journey from doctor to patient to healer. Second Lives is a first-hand account of neurologist Ralph Lilly’s recovery from a traumatic brain injury and how the lessons of his recovery enabled him to help others with their own recoveries.  
  “Discharged from a hospital just means you’re not dead.” These words of Ralph B. Lilly, M.D., describe his early struggle to recover from a traumatic brain injury. Lilly was a forty-four-year-old practicing neurologist sitting on his motorcycle at a red light when a drunk driver rear-ended him in 1980. In the ICU, after regaining consciousness and being told what happened, he asked, “What’s a hospital? What’s a motorcycle?” This tragic experience transformed his life and his approach to his neurology practice: doctors treat those with brain injury; but loved ones heal them. 
  Second Lives: The Journey of Brain Injury Survivors and Their Healers is written by Dr. Lilly and Diane F. Kramer. After his death in 2021, Kramer completed the book with the assistance of Lilly’s wife, Joyce Stamp Lilly. This memoir weaves together Ralph Lilly’s experience with a collage of stories about his patients and their healers. After his recovery, Lilly retrained in the emerging field of behavioral neurology, which focuses on behavior, memory, cognition, and emotion after brain injury.

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