Showing titles in Data Science

Brought to you by Penguin. THE SUNDAY TIMES BESTSELLER AND A FINANCIAL TIMES, SUNDAY TIMES AND TELEGRAPH BOOK OF THE YEAR 2024 The insider account of the data revolution that has swept through the modern football world written by one of its key architects, Ian Graham. Between 2012 and 2023, Ian...

Primary Keys traces the hidden history of how humanity taught machines to remember - from filing cabinets, punched cards, and the first databases to SQL, data lakes, and artificial intelligence. Drawing on more than two decades of experience with data systems, Kobus Veldsman explores how the...

FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J. R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks.

Insightful, surprising and with groundbreaking revelations about our society, Everybody Lies exposes the secrets embedded in our Internet searches, with a foreword by best-selling author Steven Pinker. Everybody lies, to friends, lovers, doctors, pollsters - and to themselves. In Internet searches, however, people confess their secrets - about sexless marriages, mental health problems, even racist views.

Master the fundamentals of networking and confidently prepare for the Cisco Certified Network Associate (CCNA) exam with this comprehensive guide. This book equips you with the knowledge and skills required to excel in today's dynamic networking landscape.

Brought to you by Penguin. We think we know bullshit when we hear it, but do we? A spotter's guide to bullshit in the wild from two brilliantly contrarian scientists The world is awash in bullshit, and we're drowning in it. Politicians are unconstrained by facts. Science is conducted by press...

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

Bloomsbury presents… xGenius: Expected Goals and the Science of Winning Football Matches by James Tippett read by Simon Darwen 'Eye-opening. An essential read for any football fan' – Jamie Carragher A new, expanded and super-charged guide to Expected Goals (xG) analysis from the bestselling...

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

What leads to political turbulence and social breakdown? How do elites maintain their dominant position? And why do ruling classes sometimes suddenly lose their grip on power? For decades, complexity scientist Peter Turchin has been studying world history like no one else. Assembling vast databases mined from 10,000 years of human activity, and then developing new models, he has transformed the way we learn from the past. End Times is the result: a ground-breaking account of how society works.

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

A FINANCIAL TIMES BEST BOOK OF 2026 'Illuminating' Eddie Jones 'Fantastic, a must-read for rugby fans' Ben Youngs 'Essential reading... reveals rugby's secrets' Financial Times 'Well written, insightful and thought-provoking' The Guardian 'Quite literally, the book on data in rugby' Irish Times...

Have you ever chatted with a computer that seemed to really get you? Asked it a question and, seconds later, it gave you an answer that was actually useful—or even surprisingly insightful? If you’ve had that experience recently, there’s a good chance you were talking to ChatGPT. It might feel a bit like science fiction—an artificial intelligence that can hold a conversation, write emails, draft stories, explain complex topics, and even tell you a joke or two. But ChatGPT isn’t a futuristic fantasy anymore.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.  

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the listener through the essential principles we need in order to derive knowledge from data. 

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. 

UPDATED WITH A NEW CHAPTER ON THE 2025-26 SEASON Being a Leeds United fan is never dull, and few clubs have experienced quite so many ups, downs, and moments of pure chaos. To try and make some sense of it all, renowned Opta statistician and lifelong fan Jonny Cooper has dug into the numbers and...

Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.