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AI Strategies For Web Development

Author: Anderson Soares Furtado Oliveira
Publisher: Packt Publishing Ltd
ISBN: 1835886310
Category : Computers
Languages : en
Pages : 458

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Book Description
From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.

AI Strategies For Web Development

Author: Anderson Soares Furtado Oliveira
Publisher: Packt Publishing Ltd
ISBN: 1835886310
Category : Computers
Languages : en
Pages : 458

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Systems, Software and Services Process Improvement

Author: Murat Yilmaz
Publisher: Springer Nature
ISBN: 3031711394
Category :
Languages : en
Pages : 469

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Book Description

Quality of Information and Communications Technology

Author: Antonia Bertolino
Publisher: Springer Nature
ISBN: 303170245X
Category :
Languages : en
Pages : 476

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Book Description

Consumer Law & Protection: In the age of AI

Author: Dr. Anjali Dixit
Publisher: SGSH Publications
ISBN: 9366311822
Category : Antiques & Collectibles
Languages : en
Pages : 251

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Book Description
In an era defined by rapid technological advancements, the interplay between consumer rights and artificial intelligence (AI) has never been more critical. The digital landscape, while offering unprecedented convenience and innovation, also presents unique challenges to consumer protection that must be addressed with urgency and foresight. This book, Consumer Law & Protection: In the Age of AI, aims to illuminate these complexities and provide a comprehensive framework for understanding consumer rights in this new age. Our journey begins with an exploration of the international context and benchmarks for consumer protection, grounding our discussions in global practices and principles that transcend borders. By recognizing consumer rights as a special category of human rights, we highlight the intrinsic value of these rights in the broader spectrum of social justice. Understanding the historical evolution of consumer protection in India serves as a crucial backdrop, illustrating how cultural, economic, and legal contexts shape consumer rights. We then delve into the specifics of consumer protection legislation, focusing on the Consumer Protection Act and its implications for various sectors. As we transition into the digital realm, the chapters on e-commerce, e-banking, and e-pharmacy expose the vulnerabilities and opportunities that come with online transactions, emphasizing the necessity of robust protections in these rapidly growing industries. The intersection of medical healthcare and consumer rights is particularly poignant, as consumers navigate complex systems where the stakes are often life and death. A significant portion of our discourse is dedicated to the impact of AI on consumer protection. With algorithms influencing choices, personalized marketing strategies, and automated customer service, we must critically assess how AI technologies can both enhance and undermine consumer rights. Lastly, our exploration of miscellaneous subjects related to consumer rights rounds out the discussion, providing insights into important judgments that shape the landscape of consumer law. This book is intended for legal scholars, practitioners, policymakers, and consumers alike, offering a nuanced understanding of the challenges and opportunities presented by AI in the realm of consumer protection. It is our hope that by examining these interconnected themes, we can contribute to a more informed and equitable future for consumers in the age of technology. As we embark on this exploration, we invite you to reflect on the evolving nature of consumer rights and the collective responsibility we share in safeguarding these essential protections. Welcome to the dialogue—let us navigate the complexities of consumer law together.

Positive Vision

Author: Ken Brandt
Publisher:
ISBN: 9780648762522
Category : Biography & Autobiography
Languages : en
Pages : 124

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Book Description
Poor eyesight never impacted author Ken Brandt's vision of what life could be. Positive Vision makes a rollicking good read from cover to cover. Whether galloping across the Montana range, exploring claustrophobic (and fiery!) caverns, chasing a thief through the streets of 1980s New York, or taking a plunge from a plane, his adventures are sure to entertain. Complementing the adventures are amusing and relatable anecdotes demonstrating the advantages of poor eyesight. Enjoy the exciting escapades and interesting insights. Seeing the bright side makes life more fun for you and those around you.

The Effective CISSP: Security and Risk Management

Author: Wentz Wu
Publisher:
ISBN: 9789574376476
Category : Study Aids
Languages : en
Pages : 326

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Book Description
Start with a Solid Foundation to Secure Your CISSP! The Effective CISSP: Security and Risk Management is for CISSP aspirants and those who are interested in information security or confused by cybersecurity buzzwords and jargon. It is a supplement, not a replacement, to the CISSP study guides that CISSP aspirants have used as their primary source. It introduces core concepts, not all topics, of Domain One in the CISSP CBK - Security and Risk Management. It helps CISSP aspirants build a conceptual security model or blueprint so that they can proceed to read other materials, learn confidently and with less frustration, and pass the CISSP exam accordingly. Moreover, this book is also beneficial for ISSMP, CISM, and other cybersecurity certifications. This book proposes an integral conceptual security model by integrating ISO 31000, NIST FARM Risk Framework, and PMI Organizational Project Management (OPM) Framework to provide a holistic view for CISSP aspirants. It introduces two overarching models as the guidance for the first CISSP Domain: Wentz's Risk and Governance Model. Wentz's Risk Model is based on the concept of neutral risk and integrates the Peacock Model, the Onion Model, and the Protection Ring Model derived from the NIST Generic Risk Model. Wentz's Governance Model is derived from the integral discipline of governance, risk management, and compliance. There are six chapters in this book organized structurally and sequenced logically. If you are new to CISSP, read them in sequence; if you are eager to learn anything and have a bird view from one thousand feet high, the author highly suggests keeping an eye on Chapter 2 Security and Risk Management. This book, as both a tutorial and reference, deserves space on your bookshelf.

NIST Cloud Computing Forensic Science Challenges

Author: National Institute National Institute of Standards and Technology
Publisher:
ISBN: 9781548146801
Category :
Languages : en
Pages : 54

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Book Description
NISTIR 8006 Draft June 2014 This document summarizes the research performed by the members of the NIST Cloud Computing Forensic Science Working Group, and aggregates, categorizes and discusses the forensics challenges faced by experts when responding to incidents that have occurred in a cloud-computing ecosystem. The challenges are presented along with the associated literature that references them. The immediate goal of the document is to begin a dialogue on forensic science concerns in cloud computing ecosystems. The long-term goal of this effort is to gain a deeper understanding of those concerns (challenges) and to identify technologies and standards that can mitigate them. Why buy a book you can download for free? First you gotta find it and make sure it's the latest version (not always easy). Then you gotta print it using a network printer you share with 100 other people - and its outta paper - and the toner is low (take out the toner cartridge, shake it, then put it back). If it's just 10 pages, no problem, but if it's a 250-page book, you will need to punch 3 holes in all those pages and put it in a 3-ring binder. Takes at least an hour. An engineer that's paid $75 an hour has to do this himself (who has assistant's anymore?). If you are paid more than $10 an hour and use an ink jet printer, buying this book will save you money. It's much more cost-effective to just order the latest version from Amazon.com This book is published by 4th Watch Books and includes copyright material. We publish compact, tightly-bound, full-size books (8 � by 11 inches), with glossy covers. 4th Watch Books is a Service Disabled Veteran-Owned Small Business (SDVOSB), and is not affiliated with the National Institute of Standards and Technology. For more titles published by 4th Watch Books, please visit: cybah.webplus.net A full copy of all the pertinent cybersecurity standards is available on DVD-ROM in the CyberSecurity Standards Library disc which is available at Amazon.com. NIST SP 500-299 NIST Cloud Computing Security Reference Architecture NIST SP 500-291 NIST Cloud Computing Standards Roadmap Version 2 NIST SP 500-293 US Government Cloud Computing Technology Roadmap Volume 1 & 2 NIST SP 500-293 US Government Cloud Computing Technology Roadmap Volume 3 DRAFT NIST SP 1800-8 Securing Wireless Infusion Pumps NISTIR 7497 Security Architecture Design Process for Health Information Exchanges (HIEs) NIST SP 800-66 Implementing the Health Insurance Portability and Accountability Act (HIPAA) Security Rule NIST SP 1800-1 Securing Electronic Health Records on Mobile Devices NIST SP 800-177 Trustworthy Email NIST SP 800-184 Guide for Cybersecurity Event Recovery NIST SP 800-190 Application Container Security Guide NIST SP 800-193 Platform Firmware Resiliency Guidelines NIST SP 1800-1 Securing Electronic Health Records on Mobile Devices NIST SP 1800-2 Identity and Access Management for Electric Utilities NIST SP 1800-5 IT Asset Management: Financial Services NIST SP 1800-6 Domain Name Systems-Based Electronic Mail Security NIST SP 1800-7 Situational Awareness for Electric Utilities

Machine Learning Algorithms and Applications

Author: Mettu Srinivas
Publisher: John Wiley & Sons
ISBN: 1119769248
Category : Computers
Languages : en
Pages : 372

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Book Description
Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

AI Management System Certification According to the ISO/IEC 42001 Standard

Author: Sid Ahmed Benraouane
Publisher: CRC Press
ISBN: 1040043909
Category : Business & Economics
Languages : en
Pages : 223

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Book Description
The book guides the reader through the auditing and compliance process of the newly released ISO Artificial Intelligence standard. It provides tools and best practices on how to put together an AI management system that is certifiable and sheds light on ethical and legal challenges business leaders struggle with to make their AI system comply with existing laws and regulations, and the ethical framework of the organization. The book is unique because it provides implementation guidance on the new certification and conformity assessment process required by the new ISO Standard on Artificial Intelligence (ISO 42001:2023 Artificial Intelligence Management System) published by ISO in August 2023. This is the first book that addresses this issue. As a member of the US/ISO team who participated in the drafting of this standard during the last 3 years, the author has direct knowledge and insights that are critical to the implementation of the standard. He explains the context of how to interpret ISO clauses, gives examples and guidelines, and provides best practices that help compliance managers and senior leadership understand how to put together the AI compliance system to certify their AI system. The reader will find in the book a complete guide to the certification process of AI systems and the conformity assessment required by the standard. It also provides guidance on how to read the new EU AI Act and some of the U.S. legislations, such as NYC Local Law 144, enacted in July 2023. This is the first book that helps the reader create an internal auditing program that enhances the company’s AI compliance framework. Generative AI has taken the world by storm, and currently, there is no international standard that provides guidance on how to put together a management system that helps business leaders address issues of AI governance, AI structure, AI risk, AI audit, and AI impact analysis. ISO/IEC 42001:2023 is the first international mandatory and certifiable standard that provides a comprehensive and well-integrated framework for the issue of AI governance. This book provides a step-by-step process on how to implement the standard so the AI system can pass the ISO accreditation process.

Interpretable Machine Learning with Python

Author: Serg Masís
Publisher: Packt Publishing Ltd
ISBN: 1800206577
Category : Computers
Languages : en
Pages : 737

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Book Description
A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. What you will learn Recognize the importance of interpretability in business Study models that are intrinsically interpretable such as linear models, decision trees, and Naïve Bayes Become well-versed in interpreting models with model-agnostic methods Visualize how an image classifier works and what it learns Understand how to mitigate the influence of bias in datasets Discover how to make models more reliable with adversarial robustness Use monotonic constraints to make fairer and safer models Who this book is for This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.