Other books that might interest you

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  Body Scan Guided Sleep Meditation

  Calm Voices

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  Are you tired of restless nights, where sleep seems to elude you, leaving you fatigued and drained the next day? Have you ever wished for a way to achieve deep, rejuvenating sleep, one that not only relaxes your body but also clears your mind of the day's stress and tension? Can you picture a night where you effortlessly slip into a tranquil slumber, your body and mind finding the ultimate state of peace? 
  The journey to restful and restorative sleep, where both your body and mind find solace, begins with the Body Scan Guided Sleep Meditation. 
  Can you visualize a night where you peacefully drift into a deep, uninterrupted sleep, leaving behind the worries and tension that often plague your evenings? This transformative audio book is thoughtfully crafted to guide you into a state of profound relaxation, helping you release the stress and anxiety that accumulates throughout the day. 
  Say farewell to the restless nights and welcome a future where your body and mind sync in harmony, allowing you to enjoy deep and undisturbed sleep. This audio book isn't just a guide; it's your companion on the path to a night of serenity and rejuvenation. 
  As you embark on this transformative journey, you'll uncover techniques to melt away stress, reduce physical tension, and achieve a sense of complete calm. Imagine a future where you consistently enjoy the beauty of a peaceful night's sleep, waking up refreshed and ready to conquer the day. 
  The Body Scan Guided Sleep Meditation is your trusted ally in your quest for restorative sleep. Don't let sleepless nights define your days any longer – take the first step toward rejuvenating sleep tonight.

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  Workforce 40 - How AI the Home...

  Gerard Szatvanyi

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  As AI becomes more integrated into our lives, it’s paramount for companies to consider best practices and strategize for the future. That’s exactly what Szatvanyi lays out in his book, as he offers examples and insight into this unprecedented reality. Throughout the chapters, he guides readers along an exciting journey that maps out how far we’ve come — and how to approach what’s next.In the pages, Szatvanyi touches on timely topics, including how to approach hybrid work, re-think the office space, and manage remote teams. He discusses ways for companies to ensure their values align with the places where they operate, along with understanding cultural norms in those regions. He tackles key issues that require mindfulness, including ethical guidelines for AI and the risks related to bias in new technologies. At every step, readers will be invited to reimagine what their organizations could do, the niches where they could operate, and the new markets that could be tapped in the years ahead.

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  TCRN - Ace your Trauma Certified...

  Cormac Everhart

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  TCRN: Simplified Guide & Explanations Included 
  ⭐⭐ Simplified Guide & Explanations Included ⭐⭐ 
  Are you looking to advance your career and solidify your expertise by successfully passing the Trauma Certified Registered Nurse (TCRN) Exam 2024-2025? 
  Seeking a comprehensive resource that provides all the necessary elements to pass the TCRN Exam 2024-2025? 
  Your search ends here! 
  This guide serves as your definitive companion for deepening your understanding, applying your skills, and engaging in hands-on exercises. With this, you're geared for success. 
  Updated for the TCRN 2024-2025 Exam Structure. 
  Key features of this enriched guide: 
  - Profound insights about the TCRN Exam 2024-2025 Certification 
  - Detailed explanation of the Trauma Certified Registered Nurse (TCRN) 
  - Effective strategies for exam preparation and tackling 
  Our guide distinguishes itself through comprehensive coverage, which is essential for your exam victory. Concepts aren't merely skimmed; they are delved into with precision. 
  Please note that this guide is not affiliated with any official TCRN entity and is purely an independent resource for your benefit. 
  Designed with a clear structure and easy-to-understand language, our TCRN Exam Guide 2024-2025 ensures smooth transitions between topics. Say goodbye to dense jargon and welcome clear, precise, and technically accurate content. 
  So, why wait? Click the BUY NOW button, secure your guide, and begin your journey to TCRN Exam 2024-2025 success!

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  Into the Abyss - The Science of...

  Dirk Fallon

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  Dark space, a term that captures the vast and mysterious regions of the universe that remain elusive to the human eye, is one of the most fascinating and perplexing subjects in modern astronomy and physics. It refers to the areas of space that are largely empty or seem devoid of matter, yet are crucial to our understanding of the cosmos. Unlike the stars, planets, and galaxies that illuminate the night sky, dark space is often invisible to our telescopes and our senses. This absence of light and matter doesn’t mean that dark space is inactive or devoid of interest. On the contrary, dark space is full of hidden forces and phenomena that scientists are only beginning to understand. It holds the secrets to some of the most fundamental questions about the universe's structure, its origins, and its ultimate fate. 
  The origins of dark space can be traced back to the very beginning of the universe. When the Big Bang occurred, it led to the creation of matter and energy. However, the universe didn’t begin with the stars and galaxies that we are familiar with today. Instead, it started as a hot, dense point that rapidly expanded. As the universe cooled, matter began to condense and form structures, such as galaxies, but there was also a significant amount of empty space that remained. This space, often referred to as "dark" because it contains little to no visible matter, is not empty in the sense that it is void of energy. Instead, it is filled with forces and substances that we cannot see directly. 
  One of the key aspects of dark space is the presence of dark matter, a mysterious substance that makes up a large portion of the universe’s total mass. Although dark matter cannot be directly observed, its presence is inferred from its gravitational effects on visible matter.

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  Machine Learning with Python for...

  Saimon Carrie

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  Dive into the captivating world of artificial intelligence with "Machine Learning with Python for Beginners: An Advanced Guide to Unleashing the Power of AI." Designed for those who are new to machine learning but eager to delve deeper into the complexities and powerful capabilities of this cutting-edge technology, this book provides an ideal blend of foundational knowledge and advanced insights. 
  Starting with the basics, this guide introduces you to the core concepts and terminologies of machine learning, ensuring you have a solid understanding before progressing to more sophisticated topics. As you advance, you'll explore a variety of algorithms and models that form the backbone of AI, including regression analysis, neural networks, decision trees, and ensemble methods. 
  Python, a leading programming language in AI, serves as your toolkit throughout the book. You’ll learn to leverage Python’s extensive libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras to build, test, and refine your own machine learning models. Each chapter includes practical examples and hands-on exercises designed to reinforce your understanding and help you apply theoretical knowledge to real-world problems. 
  This guide doesn't stop at theory and practice. It pushes further into the realm of AI applications, demonstrating how machine learning can be applied to solve complex challenges in industries like healthcare, finance, and cybersecurity. You'll also gain insights into the ethical considerations and future potential of AI, preparing you to make informed decisions in your projects or career. 
  "Machine Learning with Python for Beginners" is your comprehensive guide to mastering the fundamentals and exploring the advanced applications of machine learning. Embark on this learning journey and unlock the power of AI with Python, paving the way for innovative solutions and transformative technologies. 
   

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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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