Computer & IT

Unmasking the Machine: How AI Bias Threatens Us AllCONVERSATIONAL CHAT INFORMATIVE BOOKBy ABEBE- BARD AI WOLDEMARIAM "Unmasking the Machine: How AI Bias Threatens Us All" is a thought-provoking exploration of the pervasive issue of bias within AI systems. The book delves into the ways in which bias infiltrates AI, from the data it processes to the decisions it makes, and the profound real-world impact this can have. Whether it's in criminal justice, hiring practices, or healthcare, biased AI can perpetuate inequalities with far-reaching consequences.However, the book offers hope and empowerment by equipping readers with the knowledge to identify and combat bias in AI systems. It delves into techniques for cleansing data, developing fairer algorithms, and implementing responsible AI practices. Furthermore, it navigates the complex interplay of policy, regulation, and education, envisioning a future where AI serves as a force for good rather than perpetuating inequalities.The book is structured around several key themes, including the nature and impact of AI bias, strategies for mitigating bias, and a call for transparency and accountability in the development and deployment of AI systems. Through compelling insights and practical guidance, "Unmasking the Machine" aims to shed light on the perils of untamed AI and advocates for building a more just future, one algorithm at a time.

In today's data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the knowledge and skills you need to conquer even the most complex data landscapes.Start with the fundamentals of big data, exploring its growing significance and diverse applications. You'll look into the heart of the Apache Hadoop ecosystem, mastering its core components like HDFS and MapReduce. We'll demystify NoSQL databases, introducing you to HBase and Cassandra as powerful alternatives to traditional databases.Clarify the details of MapReduce programming with practical examples, and discover the power of PigLatin and HiveQL for efficient data analysis. Explore advanced tools like Spark, unlocking its potential for real-time data processing and analytics. Rounding out your knowledge, the book delves into practical applications, exploring real-world scenarios and research-based insights. By the end of this book , you'll emerge as a confident big data explorer, equipped to tackle any data challenge with expertise and precision.WHAT YOU WILL LEARN¿ Gain a solid grasp of the fundamental concepts of big data.¿ Acquire a comprehensive understanding of HDFS, MapReduce, YARN, Spark, and related components.¿ Learn how to set up and configure Hadoop clusters to create scalable and reliable data processing environments.¿ Develop the expertise to design, code, and execute MapReduce jobs to process and analyze vast datasets efficiently.¿ Learn how to use Hadoop and related tools to perform advanced data analytics. WHO THIS BOOK IS FORWhether you are a beginner or have some experience with big data. This book is for aspiring big data professionals, including data analysts, software developers, IT professionals, and students in computer science and related fields.

The book "Discover the Secrets to SEO: How to Dominate the Online World" by Eva Kovä will help you find the keys to unmatched online success. Explore the ever-changing world of Search Engine Optimization (SEO) with this complete guide. Each part reveals strategies that will help you take your online presence to new heights.Figure out the secrets of SEO algorithms and stay ahead of the curve by learning how search engines change over time. Learn about the important role that keywords play and how they can help you be seen and succeed online. Go into detail about crawling, indexing, and the importance of backlinks to learn about the core of a strong SEO plan.Learn how to use long-tail keywords to your advantage, plan ahead to beat your competitors, and make your content better so that it speaks to both search engines and your audience. This book shows you how to get around in the constantly changing digital world, from learning the art of on-page optimization to understanding the tricky world of technical SEO.Keep up with the newest SEO tools and methods to make sure that your tactics are not only the best, but also flexible enough to fit new trends. Eva Kovä shows examples of successful efforts from real life. This gives us useful information and a plan for making and reaching reasonable SEO goals."Discover the Secrets to SEO" gives you the tools to rule the internet, no matter how much experience you have as a marketer or how new you are to the digital world. With this essential guide to SEO skill, you can make your website more visible, beat out the competition, and reach its full potential. Take a look at the future of digital success and see how your online profile can grow like never before.

DevOps design, architecture and its implementations with best practices¿DESCRIPTION DevOps design patterns encompass a set of best practices aimed at revolutionizing the software development lifecycle. It introduces a collaborative and streamlined approach to bring together different aspects of development, testing, deployment, and operations. At its core, DevOps seeks to break down traditional silos between these functions, fostering a culture of cooperation and continuous communication among teams. This interconnectivity enables faster, higher-quality software delivery by eliminating bottlenecks. DevOps best practices offer significant benefits to DevOps engineers, enhancing their effectiveness and efficiency. Examine best practices for version control and dynamic environments closely, learn how to "build once, deploy many," and master the art of continuous integration and delivery (CI/CD), reducing manual intervention and minimizing errors. Each chapter equips you with actionable insights, guiding you through automated testing, robust monitoring, and effective rollback strategies. You will confidently tap into the power of Infrastructure as Code (IaC) and DevSecOps methodologies, ensuring secure and scalable software delivery.Overall, DevOps best practices enable DevOps engineers to deliver high-quality, scalable, and secure software in a more streamlined and collaborative environment. WHAT YOU WILL LEARN¿ Apply DevOps design patterns to optimize system architecture and performance.¿ Implement DevOps best practices for efficient software development.¿ Establish robust and scalable CI/CD processes with security considerations.¿ Effectively troubleshoot issues and ensure reliable and resilient software.¿ Seamlessly integrate security practices into the entire software development lifecycle, from coding to deployment.WHO THIS BOOK IS FORSoftware Developers, Software Architects, Infrastructure Engineers, Operation Engineers, Cloud Engineers, Quality Assurance (QA) Engineers, and all DevOps professionals across all experience levels to master efficient software delivery through proven design patterns.

Unlocking computer vision with Python and OpenCV¿DESCRIPTION Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models. The character detection and recognition models are also covered in depth with code examples.You will gain a deeper understanding of how these techniques impact real-world scenarios and learn to harness the potential of Python and OpenCV to solve complex problems. Whether you are building intelligent systems, automating processes, or working on image-related projects, this book equips you with the skills to revolutionize your approach to visual data.WHAT YOU WILL LEARN¿ Acquire expertise in image manipulation techniques.¿ Apply knowledge to practical scenarios in computer vision.¿ Implement robust systems for face detection and recognition.¿ Enhance projects with accurate object localization capabilities.¿ Extract text information from images effectively.WHO THIS BOOK IS FORThis book is designed for those with basic Python skills, from beginners to intermediate-level readers. Whether you are building intelligent robots that perceive their surroundings or crafting advanced vision systems for object detection and image analysis, this book will equip you with the tools and skills to push the boundaries of AI perception.

This book presents the reader with a comprehensive and structured understanding of the ethics of Artificial Intelligence (AI). It describes the main ethical questions that arise from the use of AI in different areas, as well as the contribution of various academic disciplines such as legal policy, environmental sciences, and philosophy of technology to the study of AI. AI has become ubiquitous and is significantly changing our lives, in many cases, for the better, but it comes with ethical challenges. These challenges include issues with the possibility and consequences of autonomous AI systems, privacy and data protection, the development of a surveillance society, problems with the design of these technologies and inequalities in access to AI technologies. This book offers specialists an instrument to develop a rigorous understanding of the main debates in emerging ethical questions around AI. The book will be of great relevance to experts in applied and technology ethics and to students pursuing degrees in applied ethics and, more specifically, in AI ethics.

As computational power, the volume of available data, IT systems¿ autonomy, and the human-like capabilities of machines increase, robots and AI systems have substantial and growing implications for the law and raise a host of challenges to current legal doctrines. The main question to be answered is whether the foundations and general principles of private law and criminal law offer a functional and adaptive legal framework for the ¿autonomous systems¿ phenomena.The main purpose of this book is to identify and explore possible trajectories for the development of civil and criminal liability; for our understanding of the attribution link to autonomous systems; and, in particular, for the punishment of unlawful conduct in connection with their operation. AI decision-making processes ¿ including judicial sentencing ¿ also warrant close attention in this regard.Since AI is moving faster than the process of regulatory recalibration, this book provides valuable insights on its redesign and on the harmonization, at the European level, of the current regulatory frameworks, in order to keep pace with technological changes.Providing a broader and more comprehensive picture of the legal challenges posed by autonomous systems, this book covers a wide range of topics, including the regulation of autonomous vehicles, data protection and governance, personality rights, intellectual property, corporate governance, and contract conclusion and termination issues arising from automated decisions, blockchain technology and AI applications, particularly in the banking and finance sectors.The authors are legal experts from around the world with extensive academic and/or practical experience in these areas.

This book explores a dynamic landscape where cutting-edge technologies are revolutionizing various domains. This captivating book delves into the advancements in security, communication, and environmental management, highlighting their profound impact on society. The developments bridge the gap between human needs and technological innovation. Readers will uncover the fascinating world of IoT-driven devices that seamlessly integrate into our lives, ensuring enhanced safety and communication efficiency. This book is a must-read for technology enthusiasts, researchers, and anyone curious about the transformative power of technology in shaping our present and future.

The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution.Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.

This book presents a unique, feminist approach to ¿sex¿ dolls and ¿sex¿ robots, taking a critical look at the academic and business narratives that serve to rationalise them. As new forms of pornography (porn robots), this edited volume provides an urgent women¿s centred critique.The emergence of ¿sex¿ robots is situated within the wider context of the attack on women¿s rights and the relentless rise of techno-pornography. As an outgrowth of the industries of prostitution, pornography and child sex abuse, these objects offer new ways to dehumanise women and girls. While support for ¿sex¿ robots is positioned as progressive and emancipatory, the contributors in this volume argue they reduce women to consumable parts. They explore how law, the arts, ethics, economy, politics and culture are interconnected with harmful technological developments.