Data Centric Artificial Intelligence A Beginner S Guide
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Data Centric Artificial Intelligence A Beginner S Guide
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Author : Parikshit N. Mahalle
language : en
Publisher: Springer Nature
Release Date : 2023-10-10
Data Centric Artificial Intelligence A Beginner S Guide written by Parikshit N. Mahalle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Technology & Engineering categories.
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.
Data Centric Artificial Intelligence For Multidisciplinary Applications
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Author : Parikshit N Mahalle
language : en
Publisher: CRC Press
Release Date : 2024-06-06
Data Centric Artificial Intelligence For Multidisciplinary Applications written by Parikshit N Mahalle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Computers categories.
This book explores the need for a data‐centric AI approach and its application in the multidisciplinary domain, compared to a model‐centric approach. It examines the methodologies for data‐centric approaches, the use of data‐centric approaches in different domains, the need for edge AI and how it differs from cloud‐based AI. It discusses the new category of AI technology, "data‐centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‐centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods. • Includes a collection of case studies with experimentation results to adhere to the practical approaches • Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways • Discusses methodologies to achieve accurate results by improving the quality of data • Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications
Digital Transformation In The Construction Industry
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Author : Ehsan Noroozinejad Farsangi
language : en
Publisher: Woodhead Publishing
Release Date : 2025-05-16
Digital Transformation In The Construction Industry written by Ehsan Noroozinejad Farsangi and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.
Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area. - Covers emerging technologies comprehensively - Emphasizes the use of digital tools to support achievements for worldwide net zero targets - Focuses on lean and agile construction practices to improve project efficiency and reduce waste
Explainable Artificial Intelligence A Practical Guide
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Author : Parikshit Narendra Mahalle
language : en
Publisher: CRC Press
Release Date : 2024-12-02
Explainable Artificial Intelligence A Practical Guide written by Parikshit Narendra Mahalle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. It evaluates and justifies AI applications while enhancing trust in AI outcomes and aiding comprehension of AI feature development. Key topics include an overview of explainable AI, black box model understanding, interpretability techniques, practical XAI applications, and future trends and challenges in XAI. Technical topics discussed in the book include: Explainable AI overview Understanding black box models Techniques for model interpretability Practical applications of XAI Future trends and challenges in XAI
A Beginner S Guide To Introduce Artificial Intelligence In Teaching And Learning
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Author : Muralidhar Kurni
language : en
Publisher: Springer Nature
Release Date : 2023-06-28
A Beginner S Guide To Introduce Artificial Intelligence In Teaching And Learning written by Muralidhar Kurni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Education categories.
This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.
Human Centric Computing In A Data Driven Society
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Author : David Kreps
language : en
Publisher: Springer Nature
Release Date : 2020-11-11
Human Centric Computing In A Data Driven Society written by David Kreps and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-11 with Computers categories.
This book constitutes the refereed proceedings of the 14th IFIP TC 9 International Conference on Human Choice and Computers, HCC14 2020, which was supposed take place in Tokyo, Japan, in September 2020, but the conference was cancelled due to the COVID-19 crisis. The 31 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers deal with the constantly evolving intimate relationship between humans and technology. They are organized in the following sections: ethical and legal considerations in a data-driven society; the data-driven society; peace and war; our digital lives; individuals in data-driven society; and gender, diversity and ICT.
Artificial Intelligence And Machine Learning For Business
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Author : Steven Finlay
language : en
Publisher: Relativistic
Release Date : 2018-07
Artificial Intelligence And Machine Learning For Business written by Steven Finlay and has been published by Relativistic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07 with categories.
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.
A Beginner S Guide To The Future Data Analyst S
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Author : Jesun Ahmad Ushno
language : en
Publisher: Ocleno
Release Date : 2025-02-15
A Beginner S Guide To The Future Data Analyst S written by Jesun Ahmad Ushno and has been published by Ocleno this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.
In today’s fast-paced, data-driven world, the demand for skilled data analysts is higher than ever. A Beginner’s Guide to The Future Data Analyst’s is the ultimate resource for anyone eager to start a career in data analytics. Written by Jesun Ahmad Ushno, this book provides aspiring data analysts with a stepby-step guide to mastering the core skills, tools, and techniques that are essential for success in the field. This practical guide covers everything from understanding the foundational concepts of data analysis to working with powerful tools like Python, SQL, and SPSS. Whether you’re just starting out or looking to refine your skills, this book breaks down complex topics into easy-to-understand lessons, with real-world examples and hands-on projects that will enhance your learning experience. Inside, you will find: • Step-by-step instructions on how to get started with data analytics tools like Python and SQL. • Hands-on projects that allow you to apply your learning to real-world data problems. • Tips on building a strong portfolio that showcases your skills and experience. • Practical advice on creating an impactful LinkedIn profile, crafting an effective resume, and preparing for data analytics job interviews. • Insights into career paths in data analytics, the future of the industry, and how to continuously grow in your career. Through personal insights, career guidance, and technical know-how, this book equips you with everything you need to not only enter the field but to thrive in it. If you’re looking to make your mark as a data analyst, A Beginner’s Guide to The Future Data Analyst’s is your roadmap to success.
Unlocking The Power Of Data A Beginner S Guide To Data Analysis
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Author : Balasubramanian Thiagarajan
language : en
Publisher: Otolaryngology online
Release Date : 2023-06-13
Unlocking The Power Of Data A Beginner S Guide To Data Analysis written by Balasubramanian Thiagarajan and has been published by Otolaryngology online this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-13 with Computers categories.
Welcome to the world of data analysis! In today's data-driven era, the ability to effectively analyze and derive insights from data has become a vital skill for individuals and organizations across various domains. This book aims to serve as your comprehensive guide to understanding and performing data analysis, from the fundamental concepts to the practical applications. Chapter 1 introduces you to the fascinating realm of data analysis. We delve into the importance of data analysis in decision-making processes and highlight its role in gaining valuable insights and making informed choices. Understanding the power of data analysis sets the foundation for your journey ahead. Chapter 2 focuses on data entry, a crucial step in the data analysis process. We explore different methods and techniques for entering data accurately, ensuring the reliability and integrity of your dataset. Effective data entry practices are essential for obtaining meaningful results. In Chapter 3, we explore the different types of data analysis. Whether it's exploratory, descriptive, diagnostic, predictive, or prescriptive analysis, you will gain an understanding of each type and when to employ them in various scenarios. This chapter equips you with the knowledge to choose the appropriate analysis technique for your specific needs. To lay the groundwork for your data analysis journey, Chapter 4 familiarizes you with the basic terminology commonly used in the field. From variables and observations to measures of central tendency and variability, this chapter ensures you have a solid grasp of the foundational concepts necessary for effective data analysis. Chapter 5 focuses on setting up your data analysis environment. We guide you through the process of installing the necessary software and configuring your data workspace. Creating an optimal environment is crucial for seamless and efficient data analysis. Data preprocessing takes center stage in Chapter 6. We delve into the essential steps of data cleaning, transformation, and handling missing values. By mastering these techniques, you will be able to prepare your data for analysis, ensuring its quality and usability. In Chapter 7, we explore the exciting world of data exploration and visualization. Understanding the distribution of data and identifying relationships between variables are key aspects of uncovering meaningful insights. We delve into creating various charts and graphs to visually represent data, aiding in its interpretation and analysis. Chapter 8 introduces you to statistical analysis techniques. Descriptive statistics help us summarize and describe data, while inferential statistics enable us to make inferences and draw conclusions about populations based on sample data. Additionally, hypothesis testing allows us to validate our assumptions and test specific predictions. Predictive analytics takes the spotlight in Chapter 9. We explore techniques such as linear and logistic regression, decision trees, and clustering algorithms. These techniques empower you to make predictions and forecasts based on historical data, providing valuable insights for decision-making. Chapter 10 is dedicated to machine learning, an exciting field within data analysis. We introduce the fundamentals of machine learning, including supervised and unsupervised learning algorithms. Understanding these concepts opens doors to more advanced data analysis techniques and applications. Ethics in data analysis takes center stage in Chapter 11. We delve into the critical considerations of privacy concerns, data bias, and fairness in data analysis. Ethical data practices are crucial to ensure the responsible and ethical use of data in analysis. Chapter 12 explores the wide-ranging applications of data analysis. We delve into the domains of business analytics, healthcare analytics, sports analytics, and social media analytics, highlighting how data analysis drives insights and informs decision-making in these fields. Finally, Chapter 13 serves as a conclusion and sets you on the path for further learning and development. We recap the key concepts covered in the book, provide tips for advancing your data analysis skills, and discuss future trends and innovations in the field. We hope this book serves as a valuable resource in your data analysis journey. Whether you are a student, professional, or data enthusiast, we believe that understanding and applying data analysis.
Machine Learning For Beginners
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Author : Ryan Knight
language : en
Publisher: Ryan Knight
Release Date : 2024-05-08
Machine Learning For Beginners written by Ryan Knight and has been published by Ryan Knight this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-08 with Computers categories.
Enter a world of algorithms, data, and artificial intelligence, this all-inclusive guide strips away the complexity of machine learning and AI, transforming them from daunting subjects into accessible and comprehendible concepts. Whether you're a total novice or a professional looking to broaden your knowledge, this guide provides a structured approach that walks you through the basics, right through to the cutting-edge applications of AI and machine learning. Crafted with the reader in mind, every chapter provides detailed explanations, relatable examples, and step-by-step instructions to ensure a comprehensive yet enjoyable learning experience. Inside this book, you'll discover: An introduction to the exciting world of machine learning and AI, making it accessible to everyone regardless of technical background. Comprehensive discussions on the foundational concepts of machine learning, including algorithms, data science principles, and the different types of machine learning. Deep dives into the transformative applications of AI and machine learning in industries such as healthcare, retail, finance, transportation, education, and entertainment. Practical guides on mastering the essential tools and techniques for building intelligent solutions, complete with hands-on exercises and examples. An exploration of the ethical considerations around AI and machine learning, and the responsibilities we have as practitioners. Future trends in machine learning and AI, providing a glimpse into what lies on the horizon. Ignite your journey into the fascinating world of machine learning and AI today. Unleash the power of data and algorithms, create intelligent solutions, and shape a better future. Are you ready to master the future? The opportunity is just a click away. Pick up your copy now, and let's get started!