World Conference of AI-Powered Innovation and Inventive Design
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Technology Innovation for the Circular Economy
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Regression Analysis by Example Using R, 6th ed.
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TIPS: Don't see your favorite topic listed above? You can search your own topics and titles by using UC Library Search. For best results, sign in to UC Library Search using SSO and your @ucsd.edu email address. To limit to the most recent ebooks, choose the radio button that says "UC San Diego Library Catalog" for your search, then filter the results to online only. Changing the results order from "relevance" to "date: newest first" will show the most recent additions to the ebook collection.
Generative AI: disruptive technologies for innovative applications
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Hybridization of Blockchain and Cloud Computing
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Data Science in Practice
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Previously-featured books:
Mapping texts: computational text analysis for the social sciences
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This book offers a practical introduction to computational text analysis with step-by-step guides on how to conduct actual text analysis workflows in the R statistical computing environment. The focus is on social science questions and applications and walking the reader through all facets of a text analysis workflow.
Amplifying Voices in UX: balancing design and user needs in technical communication
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Usability and user-experience researchers are broadening research into studies involving social issues, accessibility, reconciliation, and user advocacy. This book explores the theme of balance in design and UX in three main areas: curriculum design that includes empathy, service learning, and design justice.
Deep Learning in Time Series Analysis
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Protecting Information Assets and IT Infrastructure in the Cloud, 2nd ed.
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This edition discusses Microsoft Azure and how Microsoft is playing a huge role in artificial intelligence and machine learning with its relationship with OpenAI. An overview into ChatGPT is also provided, along with a very serious discussion of the social implications for AI.
Data Analytics and Business Intelligence: computational frameworks
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This book covers using statistical and mathematical analysis, predictive models, machine learning, information systems and network science methods to support better and faster decision-making. Chapters cover applications in the supply chain and inventory management, healthcare problems, pricing strategy, lean manufacturing, marketing decision-making, and more.
Management research: applying the principles of business research methods
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This publication supports new researchers on every step of their research journey, from defining a project to communicating its findings, as well as balancing the technical aspects of research with the management of the project itself. Structured around the key stages of a research project, this book explains the design, selection, development and implementation of appropriate research strategies in different management contexts and disciplines, providing practical guidance to the new researcher in carrying out ethical and inclusive research, and introduces a range of research methods and techniques.
What AI Can Do: strengths and limitations of Artificial Intelligence
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This title explores the question 'what can AI do' from inter-disciplinary perspectives, and incorporates both theoretical discussions and case studies.
Systems 4.0: systems foundations for industry 4.0
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The book presents and describes the first industrial revolution on through to the fourth revolution and provides general systems engineering principles that can be used with Industry 4.0. This is a practical guide for professional engineers and consultants involved in Industrial Engineering, Mechanical Engineering, Operations Management and can also be used as a reference for students.
Practical Data Mining Techniques and Applications
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Data mining techniques and algorithms are extensively used to build real-world applications. A practical approach can be applied to data mining techniques to build applications. An application once deployed enables the developers to work on the users’ goals and mould the algorithms with respect to users’ perspective.
Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications
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The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of business analytics that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.
Applications of mathematical modeling, machine learning, and intelligent computing for industrial development
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The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume.
