D'autres livres qui pourraient vous intéresser

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  Nature Health Healing: - 5 Poem...

  Mike B. Blake

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  Comprises the 5 Poems for the Series.1. I Like the Rain: Sometimes..2. To Climb Trees3. In Days Gone By: // Newbury //4. ASMR: Thought Pringles5. Back To the Woods :All the poems cover nature or healing as their main themes.

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  The Youtube Growth Blueprint -...

  Austen Porter

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  Contrary to popular belief, the YouTube platform is not dead. In this audiobook, author Austen Porter shares insider tips and expertise and guides you through everything you need to start a successful YouTube channel from scratch. From all topics from making your first video to dealing with burnout and creative ruts, Austen Porter provides a new perspective and advice to grow on social media.

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  The Art of SaaS - A Primer on...

  Ahmed Bouzid, David Rennyson

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  Authored by two passionate evangelists and practitioners in the Software as a Service (SaaS) movement, The Art of SaaS is a primer on the fundamentals of building and successfully running a healthy SaaS business organization.

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  Hydrology - Water's Journey in...

  Mike Crawford

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  The water cycle, also known as the hydrological cycle, is a continuous and dynamic process that moves water throughout the Earth's atmosphere, surface, and underground reservoirs. This cycle plays a vital role in sustaining ecosystems, regulating climate, and supporting human life. Water undergoes various transformations as it moves through different stages, driven by the energy of the sun and the force of gravity. 
  One of the fundamental processes of the water cycle is evaporation, where water from oceans, lakes, rivers, and even soil turns into water vapor due to heat from the sun. Plants also contribute to this process through transpiration, where they release moisture from their leaves into the air. Together, these processes add significant amounts of water vapor to the atmosphere. As the air rises and cools, this vapor undergoes condensation, forming clouds composed of tiny water droplets or ice crystals. 
  When these droplets combine and become heavy enough, precipitation occurs in the form of rain, snow, sleet, or hail. Precipitation is the primary way water returns to the Earth's surface, replenishing water bodies and providing essential moisture for plant and animal life. Depending on the terrain and environmental conditions, this water can take several different paths. Some of it infiltrates into the ground, recharging underground aquifers in a process known as groundwater recharge. Other portions of the water flow overland as surface runoff, eventually collecting in rivers, lakes, and oceans. This runoff helps shape landscapes by eroding and transporting sediments over time.

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  Journey Through Space Time and...

  Dorian Thorne

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  Journey Through Space, Time, and Motion Simplified 
  ⭐⭐ Simplified Audio Guide ⭐⭐ 
  Are you eager to enhance your understanding of cosmic mysteries and ready to embark on a journey through space, time, and motion? 
  Looking for a comprehensive resource that provides all the necessary insights to unravel the complexities of the universe? 
  Your quest ends here! 
  This guide serves as your ultimate companion for deepening your knowledge, applying your skills, and engaging in thought-provoking explorations. With this guide in hand, you're set for an enlightening journey. 
  Updated for the latest insights and discoveries in the realms of space, time, and motion. 
  Key features of this comprehensive guide: 
  - Profound insights into Unlocking cosmic mysteries 
  - Detailed explanations on the fundamentals of space, time, and motion 
  - Effective strategies for understanding and applying scientific concepts 
  Our guide stands out with its in-depth coverage, essential for mastering these intriguing subjects. Concepts aren't just touched upon; they are thoroughly explored. 
  Please note that this guide is not affiliated with any official entity and is purely an independent resource for your benefit. 
  Designed with a clear structure and easy-to-understand language, our guide ensures smooth transitions between topics. Say goodbye to complex jargon and welcome clear, precise, and accurate content. 
  So, why wait? Click the BUY NOW button, secure your guide, and commence your journey through space, time, and motion!

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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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