Artificial intelligence (AI) depends on data. In sensitive domains - such as healthcare, security, finance, and many more - there is therefore tension between unleashing the power of AI and maintaining the confidentiality and security of the relevant data. This book - intended for researchers in academia and R&D engineers in industry - explains how advances in three areas - AI, privacy-p

AI is transforming numerous industries. Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects. This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to: - Prioritize the most promising directions for an AI project - Diagnose errors in

In today's rapidly changing AI technology environment, software engineers often struggle to build real-world applications with large language models (LLM). The benefits of incorporating open source LLMs into existing workflows is often offset by the need to create custom components. That's where Haystack comes in. This open source framework is a collection of the most useful tools, integ

This comprehensive and timely methodological book introduces several novel topics under the overarching sections of advanced learning analytics (LA), artificial intelligence (AI), precision education, and complex systems. These topics are presented using accessible language, beginning with introductory chapters that cover the fundamentals of each section, followed by step-by-step tutoria

Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that not only focuses on business value and use cases but also provides some practical techniques f

Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate but also makes their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, regulatory oversight, and model documentation. B

Discover the transformative power of knowledge mapping with this revolutionary book. You will have access to a rich collection of mapping techniques, technologies, and real-life applications designed for learners of all ages and across disciplines. This book aims to help learners create knowledge with the support of artificial intelligence mapping apps and engage them deeply with sustain

The opportunity to modernize and improve the enterprise data warehouse is one of the best reasons for moving your application to the cloud. A data warehouse can access a greater diversity of use cases and practices than is possible in an existing environment. In this report, researcher and analyst Stephen Swoyer offers a comprehensive overview of the benefits and challenges of implementi

Dive into the world of Raspberry Pi with this huge book of tutorials, project showcases, guides, product reviews, and much more from the writers of The MagPi, the official Raspberry Pi magazine! Raspberry Pi Pico 2 joins Raspberry Pi 5 in this, the 2025 edition of the Official Raspberry Pi Handbook. These amazing boards can power any project you can imagine. With 200 pages packed full of

Step into the wonderful world of making with this book from the makers of HackSpace, now part of The MagPi magazine, filled with all the best projects, tutorials, and articles for makers and hackers. Book of Making 2025 distils the essence of HackSpace down to our favourite maker projects. Whether you want to build a rocket or hot air balloon, learn 3D-printed mechanical engineering, or