Muhammad usman tariq (26 Ergebnisse)

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.

Zustand: New. Muhammad Usman Tariq, is a distinguished professional with over 16 years of experience in both academia and industry, focusing on the integration of artificial intelligence and emerging technologies. As a leading expert in research and case studie.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware - This book offers an integrated framework that actively leverages AI-driven analytics, empowering businesses to transform raw data into strategic insights, actionable intelligence, and informed decision-making. It expertly covers core AI techniques and presents real-world case studies from diverse industries. Furthermore, the book provides step-by-step methodologies for constructing effective AI analytics solutions, guiding readers through the practical application of these powerful tools.The author empowers the reader to adopt strategies that actively increase predictive accuracy, automate complex analyses, and improve business processes, ultimately leading to better outcomes. The clear and structured chapters facilitate understanding, starting with the basics and progressing to advanced machine learning algorithms, equipping readers with hands-on skills for future practical applications. Key topics covered include neural networks, deep learning fundamentals, and convolutional and recurrent networks. The book illustrates this essential knowledge with real-world applications for solving complex business problems. Furthermore, it delves into natural language processing methods, sentiment analysis, text classification, and document analytics within the context of business cases like customer feedback analysis and market intelligence. By actively engaging with the material, the reader will learn and understand the tools for both predictive and prescriptive analytics, gaining valuable competitive insights and enhanced strategic decision-making capabilities. This comprehensive approach ensures readers can confidently apply AI to drive tangible business improvements.This book is targeted at upper-level undergraduates and graduates in Business Analytics, Data Science, AI in Business, MBA in Analytics, and Digital Transformation. Industry professionals like business analysts, data analysts, data scientists, AI specialists, and decision-makers seeking strategic AI analytics implementation will also benefit.…

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Six Sigma is a project management methodology. It is used in the industries and corporate sectors to substantiate goal of near perfection in process performance. It has myriads of its application in a numerous organizational and business processes. It is based on Plan-Do-Check-Act cycle to achieve performance improvement in different industries including IT sector. Six Sigma is plentiful mature but still lacks a comprehensive risk management framework. It is because of its primarily used technique Root cause analysis. The need of proper risk management has been increased due to large scale complex projects, which involve high costs. In this paper, we have made an endeavor to propose a risk identification framework to improve quality and productivity in Six Sigma projects in numerous organizations especially in the manufacturing and construction. This study has also provided a detailed overview of the methods currently being used for risk identification in different type of models proposed in the literature. The proposed model undertakes a number of hypotheses to test and then validity through implementation in real time industry environment.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Muhammad Usman Tariq, is a distinguished professional with over 16 years of experience in both academia and industry, focusing on the integration of artificial intelligence and emerging technologies. As a leading expert in research and case studie.

Buch. Zustand: Neu. Neuware - As AI reshapes education and societies, preparing for the integration of intelligent technologies becomes essential. Schools must equip learners with digital literacy, critical thinking, creativity, and ethical awareness needed to navigate evolving technologies. Educators must also be supported with the knowledge and tools to integrate AI effectively and responsibly into teaching and learning. By fostering adaptability, collaboration, and informed decision-making, education systems may help future generations thrive in a world influenced by AI. Preparing Children and Educators for AI-Driven Societies explores how education systems prepare children and teachers to adapt to the growing influence of AI. It examines the skills, ethical considerations, teaching strategies, and technological changes needed to ensure learners and educators can use AI responsibly, critically, and effectively. This book covers topics such as art and design, educational technology, and gamification, and is a useful resource for educators, engineers, sociologists, academicians, researchers, and scientists. …

Taschenbuch. Zustand: Neu. A Six Sigma based Risk Management Framework | For Handling Undesired Effects Associated with delays in Project Completion | Muhammad Usman Tariq | Taschenbuch | 72 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659195020 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: Gut. Zustand: Gut | Seiten: 478 | Sprache: Englisch | Produktart: Bücher | Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more.…

Zustand: As New. Unread book in perfect condition.

Buch. Zustand: Neu. Neuware - This book offers an integrated framework that actively leverages AI-driven analytics, empowering businesses to transform raw data into strategic insights, actionable intelligence, and informed decision-making. It expertly covers core AI techniques and presents real-world case studies from diverse industries. Furthermore, the book provides step-by-step methodologies for constructing effective AI analytics solutions, guiding readers through the practical application of these powerful tools.The author empowers the reader to adopt strategies that actively increase predictive accuracy, automate complex analyses, and improve business processes, ultimately leading to better outcomes. The clear and structured chapters facilitate understanding, starting with the basics and progressing to advanced machine learning algorithms, equipping readers with hands-on skills for future practical applications. Key topics covered include neural networks, deep learning fundamentals, and convolutional and recurrent networks. The book illustrates this essential knowledge with real-world applications for solving complex business problems. Furthermore, it delves into natural language processing methods, sentiment analysis, text classification, and document analytics within the context of business cases like customer feedback analysis and market intelligence. By actively engaging with the material, the reader will learn and understand the tools for both predictive and prescriptive analytics, gaining valuable competitive insights and enhanced strategic decision-making capabilities. This comprehensive approach ensures readers can confidently apply AI to drive tangible business improvements.This book is targeted at upper-level undergraduates and graduates in Business Analytics, Data Science, AI in Business, MBA in Analytics, and Digital Transformation. Industry professionals like business analysts, data analysts, data scientists, AI specialists, and decision-makers seeking strategic AI analytics implementation will also benefit.…

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - The convergence of artificial intelligence (AI), education, and business presents an opportunity to drive sustainability across industries and societies. As the world faces complex environmental, social, and economic challenges, AI offers innovative solutions to optimize resource usage, streamline business operations, and enhance decision-making processes for sustainable outcomes. In education, AI enables personalized learning experiences, equipping future generations with the knowledge and skills needed to tackle sustainability challenges. Businesses adopt AI to innovate sustainable products and services, reduce carbon footprints, and create a circular economy. This intersection between AI, education, and business reshapes how sustainability is approached while creating a new framework for collaboration, where technology, learning, and commerce work in harmony to build a more sustainable and equitable future. Convergence of AI, Education, and Business for Sustainability explores successful, scalable, and replicable AI applications that contribute to sustainability goals. It bridges the gap between theoretical AI advancements and practical sustainability solutions, encouraging further innovation, investment, and interdisciplinary research in this critical area. This book covers topics such as environmental science, green business, and human resources, and is a useful resource for environmentalists, business owners, educators, academicians, computer engineers, data scientists, and researchers.…

Taschenbuch. Zustand: Neu. Neuware - Artificial intelligence (AI) has emerged as a powerful tool in addressing pressing environmental challenges. From climate change and biodiversity loss to pollution and resource management, AI-driven solutions transform how we understand and mitigate environmental risks. By utilizing vast amounts of data, AI technologies can optimize energy consumption, predict climate patterns, track deforestation, and identify areas for conservation, while enhancing the efficiency of renewable energy systems and waste management strategies. These innovations offer improved approaches to environmental conservation while providing valuable insights for policymakers and businesses looking to adopt sustainable practices. As AI continues to evolve, its potential to drive meaningful changes in environmental sustainability improves, and further exploration of these solutions may build a more resilient and sustainable future. Cases on AI-Driven Solutions to Environmental Challenges explores the transformative role of AI in promoting sustainability across various fields. It delves into case studies that demonstrate innovative applications of AI in addressing environmental challenges, improving resource efficiency, and fostering sustainable development. This book covers topics such as data science, green chemistry, and sustainable development, and is a useful resource for environmental scientists, computer engineers, conservationists, academicians, and researchers.…

Buch. Zustand: Neu. Neuware - The convergence of artificial intelligence (AI), education, and business presents an opportunity to drive sustainability across industries and societies. As the world faces complex environmental, social, and economic challenges, AI offers innovative solutions to optimize resource usage, streamline business operations, and enhance decision-making processes for sustainable outcomes. In education, AI enables personalized learning experiences, equipping future generations with the knowledge and skills needed to tackle sustainability challenges. Businesses adopt AI to innovate sustainable products and services, reduce carbon footprints, and create a circular economy. This intersection between AI, education, and business reshapes how sustainability is approached while creating a new framework for collaboration, where technology, learning, and commerce work in harmony to build a more sustainable and equitable future. Convergence of AI, Education, and Business for Sustainability explores successful, scalable, and replicable AI applications that contribute to sustainability goals. It bridges the gap between theoretical AI advancements and practical sustainability solutions, encouraging further innovation, investment, and interdisciplinary research in this critical area. This book covers topics such as environmental science, green business, and human resources, and is a useful resource for environmentalists, business owners, educators, academicians, computer engineers, data scientists, and researchers.…

Buch. Zustand: Neu. Neuware - Artificial intelligence (AI) has emerged as a powerful tool in addressing pressing environmental challenges. From climate change and biodiversity loss to pollution and resource management, AI-driven solutions transform how we understand and mitigate environmental risks. By utilizing vast amounts of data, AI technologies can optimize energy consumption, predict climate patterns, track deforestation, and identify areas for conservation, while enhancing the efficiency of renewable energy systems and waste management strategies. These innovations offer improved approaches to environmental conservation while providing valuable insights for policymakers and businesses looking to adopt sustainable practices. As AI continues to evolve, its potential to drive meaningful changes in environmental sustainability improves, and further exploration of these solutions may build a more resilient and sustainable future. Cases on AI-Driven Solutions to Environmental Challenges explores the transformative role of AI in promoting sustainability across various fields. It delves into case studies that demonstrate innovative applications of AI in addressing environmental challenges, improving resource efficiency, and fostering sustainable development. This book covers topics such as data science, green chemistry, and sustainable development, and is a useful resource for environmental scientists, computer engineers, conservationists, academicians, and researchers. …