Go Books

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the ke

Stephen Davies notes that if this marks the reader's first exposure to data science, they occupy an enviable position, with all the "cool stuff" still ahead of them. He expresses a sense of jealousy but also excitement to explore the field again with the reader. The text states that this field has changed the world on an incredibly short time scale

802.11ax is the next fast-approaching Institute of Electrical and Electronics Engineers (IEEE) standard that addresses today's biggest Wi-Fi challenges: high density and performance. It addresses those challenges by increasing capacity by up to four times and improving spectral efficiency to benefit both 2.4 gigahertz (GHz) and 5 GHz bands in a var

AI coding assistants are helping teams create software faster than ever. But to turn that speed into real innovation, organizations must go beyond writing code and deliver software quickly, securely, and reliably. While AI-assisted coding is now mainstream, what happens after the code is written is still catching up. AI-Native Software Delivery is

This open book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and sampling in networks. The d

What does it take to create innovative tech-savvy designs that are usable, appealing, and good for society? The contributions to this open book introduce contemporary research on the digitization and datafication of products, exploring topics like user experience, artificial intelligence, and virtual environments in design. Coming from varied backg

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 t

In just the past few years, the extended Berkeley Packet Filter (eBPF) has gone from relative obscurity to one of the hottest technology areas in modern infrastructure computing. With this report, Liz Rice dives into eBPF and explains how this framework enables networking, security, and observability tooling for modern compute environments. SREs, o

The data-driven revolution is finally hitting the media and entertainment industry. For decades, broadcast television and print media relied on traditional delivery channels for solvency and growth, but those channels fragmented as cable, streaming, and digital devices stole the show. In this ebook, you'll learn about the trends, challenges, and op

Enterprises in traditional and emerging industries alike are increasingly turning to machine learning (ML) to maximize the value of their business data. But many of these teams are likely to experience significant hurdles and setbacks throughout the journey. In this practical ebook, data scientists and machine learning engineers explore six common