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Sách/Book The hospital manager's guide to artificial intelligence : concepts, methods, and techniques Authors: Smaranda Belciug (2025) This book presents an essential guide to understanding the power of artificial intelligence in reshaping the healthcare system. In the rapidly evolving world of healthcare, a guide of how to use artificial intelligence in hospital management is crucial.

Sách/Book Data Analysis for Business Decisions : Case Studies in Excel, R, and ChatGPT Authors: Andres Fortino (2025) This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT.

Sách/Book Snowflake recipes : a problem-solution approach to implementing modern data pipelines Authors: Dillon Dayton (2024) This book provides recipes for architecting and developing modern data pipelines on the Snowflake data platform by employing progressive techniques, agile practices, and repeatable strategies.

Sách/Book Hands-on deep learning : a guide to deep learning with projects and applications Authors: Harsh Bhasin (2024) The book begins with an introduction to the core concepts of deep learning. It delves into topics such as transfer learning, multi-task learning, and end-to-end learning, providing insights into various deep learning models and their real-world applications.

Sách/Book AI for creatives : unlocking expressive digital potential Authors: Vivian Ching (2025) AI for Creatives: Unlocking Expressive Digital Potential takes you on a dynamic journey into the future of creativity, where AI is reshaping how creators approach their craft. This essential guide empowers professionals across visual arts, music, writing, film, fashion and design to leverage the transformative potential of AI to elevate their work in ways previously unimaginable.

Sách/Book Computational Intelligence in Industry 4.0 and 5.0 Applications : Trends, Challenges and Applications Authors: Joseph Bamidele Awotunde (2025) Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues.

Sách/Book Practical machine learning : a beginner's guide with ethical insights Authors: Ally S. Nyamawe (2025) The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account

Sách/Book Visualization for artificial intelligence Authors: Shixia Liu (2025) This book: Covers visual analytics deployments in all stages of machine learning model building Demonstrates how visual analytics enhances the explainability and implementation of XAI Explores techniques to improve explainable AI through visual analysis

Sách/Book Essential Data Analytics, Data Science, and AI A Practical Guide for a Data-Driven World Authors: Maxine Attobrah (2025) This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world applications, and, it addresses the ethical considerations tied to AI.

Sách/Book Artificial Intelligence: Principles and Practice Authors: George F. Luger (2025) This book provides a complete introduction to Artificial Intelligence, covering foundational computational technologies, mathematical principles, philosophical considerations, and engineering disciplines essential for understanding AI.

Sách/Book Pro WordPress : mastering the techniques for building, securing and scaling websites Authors: Sivaraj Selvaraj (2024) This book also equips you with the tools and knowledge to optimize your site for lightning-fast performance and high search engine rankings. Learn how to leverage caching mechanisms, minimize HTTP requests, and implement SEO strategies to boost your site's speed and visibility.

Sách/Book Artificial intelligence applications in higher education : theories, ethics, and case studies for universities Authors: Helen Crompton (2025) This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond.

Sách/Book Introduction to artificial intelligence Authors: Wolfgang Ertel (2025) This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning.

Sách/Book AI in the financial markets : new algorithms and solutions Authors: Federico Cecconi (2023) This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds).

Sách/Book Applied linear statistical models. Authors: Michael H. Kutner (2005) A text and reference on statistical modeling, this work includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. It provides a use of computing and graphical analysis.

Sách/Book Applied univariate, bivariate, and multivariate statistics using Python Authors: Daniel J. Denis (2021) This book is an elementary beginner's introduction to applied statistics using Python. It for the most part assumes no prior knowledge of statistics or data analysis, though a prior introductory course is desirable.

Sách/Book Sams Teach Yourself C++ in 21 Days Authors: Jesse Liberty; Bradley Jones (2004) This is an excellent hands-on guide for the beginning programmer. Packed with examples of syntax and detailed analysis of code, fundamentals such as managing I/O, loops, arrays and creating C++ applications are all covered in the 21 easy-to-follow lessons.

Sách/Book Artificial intelligence : a modern approach Authors: Stuart J. Russell (2021) "Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial intelligence under control"--

Sách/Book AI for Teachers: An Open Textbook Authors: Colin de la Higuera (2024) This open educational resource is designed for use by teachers to address the needs of teachers. This is the first version and it is anticipated that the book will evolve and it will explore how AI is being used to do schoolwork, how it could be best used (or not) in education and what to watch out for. The book is designed from the premise that it is important for all teachers to understand AI and to make informed choices when it comes to adopting or not adopting AI into their practice

Sách/Book Big Data and Analytics Authors: Jugnesh Kumar (2024) Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications