---

Subscribe to this collection to receive daily e-mail notification of new additions

Sách/Book Creating Images Using AI: A Step-by-Step Guide to Midjourney Authors: Julie Pallant (2025) The book covers the fundamentals of setting up and using Midjourney through to advanced techniques for crafting precise text- and image-based prompts to ensure high-quality images. Detailed step-by-step instructions are provided to facilitate a thorough understanding of the program, supported throughout by screenshots and examples of Midjourney image output.

Sách/Book Computational intelligence : theory and applications Authors: T. Ananth Kumar (2024) This book provides a comprehensive exploration of computational intelligence techniques and their applications, offering valuable insights into advanced information processing, machine learning concepts, and their impact on agile manufacturing systems.

Sách/Book AI-Powered Search Authors: Trey Grainger (2025) AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications.

Sách/Book Optimization and computing using intelligent data-driven approaches for decision-making : artificial intelligence applications Authors: Irfan Ali (2025) This book: Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing. Presents a comparative analysis of machine learning algorithms for the power consumption prediction.

Sách/Book Grant writing with AI Authors: Sheryl Lindsell-Roberts (2025) In the book: Boost your chances of being selected for funding. Craft inspiring stories that tug at reviewer's heartstrings and wallets. Learn to write spot-on executive summaries. Crack the keyword code so electronic scanners notice you. Find loads of examples of actual AI output in addition to AI websites. With AI as your virtual assistant, you have a secret weapon to take your grant proposals to the next level.

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.