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  Selling On Amazon: The Essential...

  Chase Ezio

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  Selling On Amazon: The Essential Guide to Amazon Sales Secrets, Learn About Effective Techniques and Strategies to Achieve Selling Success on AmazonMany people are now looking at how they could make money online. There are many different ways to earn money online but one of the most popular is through the Amazon Affiliate Program. If you're serious about making money online, you have probably created or thought of creating a website for your business. Amazon Affiliate programs can help you monetize your site. It's very simple, too. All you have to do is place some Amazon affiliate links on your site and when one of your site visitors makes a purchase from those links, you earn a commission.If you have no idea how to start this program, you don't have to worry because this audiobook is your guide. This audiobook will teach you how to earn money through Amazon and its Affiliate program. You will discover tips and expert advice on how you can improve your earnings through Amazon affiliate. You will learn how you can earn a full-time income from Amazon like so many entrepreneurs are already doing. In this audiobook, some of the topics that will be discussed are the following:- Getting Started Making Money With Amazon- Amazon Affiliate Program- Amazon Associate Program- Tips and Tricks to Generate Amazon Income- Make Money With Amazon and Your Blog- 5 Tips For Using Amazon Affiliate Program on Your Blog- 5 Mistakes Amazon Affiliate Marketers Make- How to Use Article Marketing to Increase Amazon Revenue- 5 Best Kept Secrets to Increased Amazon Affiliate EarningsEven if you're only looking to earn some side income, Amazon affiliate programs is one of the best ways to do it.If you want to know more about how you can earn money through Amazon Associate or Affiliate programs, scroll up and click "add to cart" now.

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  The AI Mirror - How to Reclaim...

  Shannon Vallor

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  For many, technology offers hope for the future—that promise of shared human flourishing and liberation that always seems to elude our species. Artificial intelligence (AI) technologies spark this hope in a particular way. They promise a future in which human limits and frailties are finally overcome—not by us, but by our machines. Yet rather than open new futures, today's powerful AI technologies reproduce the past. Forged from oceans of our data into immensely powerful but flawed mirrors, they reflect the same errors, biases, and failures of wisdom that we strive to escape. Our new digital mirrors point backward. They show only where the data say that we have already been, never where we might venture together for the first time.To meet today's grave challenges to our species and our planet, we will need something new from AI, and from ourselves.Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

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  Journey Into Wisdom

  Pramila Jayapal

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  India, an ancient culture, has many gifts to share with the western world.  Pramila Jayapal, is an Indian-born, Western educated woman, banker turned community activist, who returns to India to explore the complex issues of progress and development, immersing herself in the life of her native land.

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  Our Data Ourselves - A Personal...

  Jacqueline D. Lipton

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  A practical, user-friendly handbook for understanding and protecting our personal data and digital privacy. Our Data, Ourselves addresses a common and crucial question: What can we as private individuals do to protect our personal information in a digital world? In this practical handbook, legal expert Jacqueline D. Lipton guides listeners through important issues involving technology, data collection, and digital privacy as they apply to our daily lives.Our Data, Ourselves covers a broad range of everyday privacy concerns with easily digestible, accessible overviews and real-world examples. Lipton explores the ways we can protect our personal data and monitor its use by corporations, the government, and others. She also explains our rights regarding sensitive personal data like health insurance records and credit scores, as well as what information retailers can legally gather, and how. Who actually owns our personal information? Can an employer legally access personal emails? What privacy rights do we have on social media? Answering these questions and more, Our Data, Ourselves provides a strategic approach to assuming control over, and ultimately protecting, our personal information.

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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 Complete Guide for People...

  Lianna Marie

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  A diagnosis of Parkinson's disease is as disorienting as it is devastating. The Complete Guide for People With Parkinson's Disease and Their Loved Ones helps make sense of what comes next and what can be done, not just for those suffering from the disease but for their family and friends as well. A trained nurse and primary caregiver for her mother, who was diagnosed with Parkinson's disease in 1991, Lianna Marie draws upon over twenty years of education, research, and direct experience. Written in straightforward and easily accessible language, this essential guide aims to help patients better understand their role in their treatment so that they may continue to lead happy and hopeful lives.Topics covered include nutrition and exercise, alternative and complementary therapies, medication and treatment, and what caregivers can do to help. Written by an international expert on Parkinson's who has confronted the disease firsthand, The Complete Guide serves as the go-to book for comprehensive, easy-to-understand information for all Parkinson's patients and their loved ones.

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