1. Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines
In today’s rapidly evolving AI landscape, understanding the principles of Trustworthy Machine Learning is crucial for all practitioners. Authors Yada Pruksachatkun, Matthew Mcateer, and Subho Majumdar present a comprehensive guide that elaborates on building consistent, transparent, and fair AI pipelines. This book serves as a roadmap for developers, data scientists, and engineers aiming to create ethical AI applications that not only perform well but also adhere to ethical standards. With its up-to-date information and practical advice, it’s a must-read for anyone serious about navigating the complexities of responsible AI deployment. 
2. The Pipeline: A Picture of Homebuilding Production – Second Edition
Fletcher L. Groves III offers an insightful perspective on homebuilding production in this second edition of The Pipeline. This book breaks down the homebuilding process into manageable pieces, allowing builders and stakeholders to visualize and enhance their operations. Groves’ practical approach and real-world examples provide valuable insights that can transform how homes are built. Whether you’re a contractor, architect, or simply enthusiastic about home construction, this is essential reading that will positively influence your projects. 
3. Security as Code: DevSecOps Patterns with AWS
The landscape of software development has shifted towards integrating security throughout the development pipeline. In Security as Code, BK Sarthak Das and Virginia Chu illustrate effective DevSecOps patterns specifically tailored for AWS platforms. This book is a technical guide that emphasizes the importance of embedding security into every phase of application development, from planning through to deployment. Security professionals, developers, and DevOps engineers will find actionable insights and patterns that enhance security measures while maintaining agile workflows. 
4. Building a Release Pipeline with Team Foundation Server 2012
This gem by Roberta Leibovitz, Jose Luis Soria Teruel, and Larry Brader focuses on optimizing the release processes using Team Foundation Server 2012. The authors dive into the intricacies of creating a streamlined release pipeline that enhances productivity and quality assurance. With effective strategies and practices outlined throughout the book, software teams can learn how to manage releases efficiently, reducing risks while increasing software quality. This is a vital resource for teams looking to improve their continuous delivery practices. 
5. Pipeline Design for Installation by Horizontal Directional Drilling
Designed as a manual for engineering practice, this book is essential for anyone involved in the field of horizontal directional drilling. With contributions from the Horizontal Directional Drilling Design Guideline Task Committee, Eric R. Skonberg, and Tennyson M. Muindi, it provides a comprehensive framework for the planning, design, and installation of pipelines. The depth of knowledge shared here makes it indispensable for engineers and planners, ensuring high performance and safety standards. Knowledge in this field is a must for successfully managing conduit installations. 
6. Node.js Design Patterns
In the realm of server-side development, Node.js Design Patterns by Mario Casciaro and Luciano Mammino stands out for its thorough exploration of proven patterns and techniques. This book imparts essential skills for building production-grade Node.js applications effectively. The focus on design patterns not only boosts developers’ understanding but also elevates the maintainability and scalability of their applications. Ideal for both beginners and seasoned developers, this resource is crucial for anyone looking to refine their Node.js development skills. 
7. Offshore Pipelines: Design, Installation, and Maintenance
This significant work by Boyun Guo and colleagues delves into the complexities of offshore pipeline engineering. Covering various aspects, from design to installation and maintenance, this book serves as a comprehensive guide for those working in the offshore oil and gas industry. With practical examples and detailed methodologies, it aids professionals in understanding both the technical requirements and environmental considerations of offshore projects. Essential for engineers and project managers alike, this book ensures that you are well-informed for successful offshore operations. 
8. Jim Blinn’s Corner: A Trip Down the Graphics Pipeline
For fans of computer graphics, Jim Blinn’s Corner is an absolute delight. Renowned graphic researcher Jim Blinn provides readers with a window into the artistic and technical concepts that drive the graphics pipeline. His unique perspective combines historical context with practical examples, making this book not only informative but enjoyable. Whether you’re an aspiring graphic artist or a seasoned professional, there’s no doubt you’ll find something valuable in Blinn’s insightful analyses and anecdotes. 
9. Distributed Machine Learning Patterns
As machine learning continues to evolve, the need for distributed systems has never been greater. In Distributed Machine Learning Patterns, Yuan Tang provides readers with essential patterns that aid in the development of scalable machine learning applications. Covering best practices and critical design principles, the book is a valuable asset for data scientists and engineers aiming to enhance their machine learning projects. Tang’s insights will equip readers with the skills to tackle the challenges associated with distributed learning effectively. 
10. Introduction to Datafication: Implement Datafication Using AI and ML Algorithms
In our data-driven world, datafication is a hot topic. Shivakumar R. Goniwada presents an enlightening exploration of this concept in Introduction to Datafication. The book explains how to effectively implement datafication through AI and machine learning algorithms, making the complex topic accessible to a wider audience. This guide is perfect for those who wish to leverage data in their decision-making processes and tap into the potential of AI technologies. An essential read for business analysts and technologists alike! 
