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Data Processing eBooks

If you like Data Processing eBooks, then you'll love these top picks.
Showing 1 - 24 of 3407 Results
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  • The Science of Racism

    Everything you need to know but probably don't - yet

    by Keon West ...
    **Shortlisted for the 2026 Unwin AwardLonglisted for the 2026 Jhalak PrizePolls show that over fifty per cent of us don’t believe racism exists.In a world made for White people, The Science of Racism uses clear scientific research to expose what we know about racism, exactly how we know it, and what we can do about it.**‘Charismatic and funny’ – The Guardian'Illuminating, surprising, unnerving, ... Read more

    Was £5.99 Now £0.99

  • Statistics Every Programmer Needs

    Practical Python implementations and quantitative methods

    by Gary Sutton ...
    Put statistics into practice with Python!Data-driven decisions rely on statistics. Statistics Every Programmer Needs introduces the statistical and quantitative methods that will help you go beyond “gut feeling” for tasks like predicting stock prices or assessing quality control, with examples using the rich tools of the Python ecosystem.Statistics Every Programmer Needs will teach you how to ... Read more

    £42.49

  • Fundamentals of Data Engineering

    Plan and Build Robust Data Systems

    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 ... Read more

    £39.89

  • Algorithmic Realism

    Data Science Practices to Promote Social Justice

    by Ben Green ...
    A bold new vision for data science—and a practical, step-by-step guide for how data scientists can contribute to social justice.The field of data science faces a moral crisis. Despite the desires of data scientists to develop algorithms for good, algorithms regularly produce injustice in practice. Given these persistent harms, the field must reflect on difficult questions about its identity and ... Read more

    £22.29

  • How Data Happened

    A History from the Age of Reason to the Age of Algorithms

    **“Fascinating.” —Jill Lepore, The New YorkerA sweeping history of data and its technical, political, and ethical impact on our world.**From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But ... Read more

    £11.89

  • Build a Reasoning Model (From Scratch)

    Get the eBook free when you register your print book at Manning."An exceptional deep dive into the next frontier of AI.”—Aman Chadha, GoogleThis book is a practical guide to understanding how modern reasoning-oriented LLMs work by building their core methods step by step. The book tells a clear engineering story: start with a conventional pre-trained LLM, learn how text generation works, build ... Read more

    £31.99

  • Invisible Women

    The No.1 Sunday Times bestseller exposing the gender bias women face every day

    *THE SUNDAY TIMES NUMBER ONE BESTSELLER**A TIMES BEST BOOK OF THE 21st CENTURY**OVER A MILLION COPIES SOLD*Discover the shocking gender bias that affects our everyday lives in this groundbreaking gift of a book.'Nothing delights me more than a well-written and well-researched book that teaches you and never bores you' Chimamanda Ngozi Adichie'... ... Read more

    £4.99

  • Ethics of Big Data

    Balancing Risk and Innovation

    by Kord Davis ...
    What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and ... Read more

    £7.09

  • The AI Con

    How to Fight Big Tech’s Hype and Create the Future We Want

    A smart, incisive take-down of so-called ‘artificial intelligence’, exposing the real harm these technologies do to our jobs, health, society and environment, who stands to gain from them, and how to fight back.‘You need to read this book’ BRIAN ENO‘Written with absolute authority and incredible wit and verve’ KAREN HAOHave tech companies created artificial minds? Are they going to replace all our ... Read more

    £7.99

  • The Thinking Machine

    Jensen Huang and Nvidia, the company shaping the future of AI

    by Stephen Witt ...
    WINNER OF THE FT SCHRODERS BUSINESS BOOK OF THE YEAR 2025A SUNDAY TIMES, ECONOMIST AND FINANCIAL TIMES BOOK OF THE YEAR‘Gripping and brilliantly told’ MUSTAFA SULEYMAN‘Highly entertaining’ GUARDIAN‘Excellent’ ECONOMIST'Riveting ... exceptional' RAY KURZWEIL‘Page-turning’ DAVID EPSTEIN<... ... Read more

    £6.99

  • Designing Data-Intensive Applications

    The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

    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 warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What ... Read more

    £37.39

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

    £45.29

  • The Model Thinker

    What You Need to Know to Make Data Work for You

    by Scott E. Page ...
    Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, ... Read more

    £8.99

  • Data Science

    Series series The MIT Press Essential Knowledge series
    A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are ... Read more

    £10.59

  • Data Science from Scratch

    First Principles with Python

    by Joel Grus ...
    Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some ... Read more

    £34.09

  • Python for Data Analysis

    Data Wrangling with pandas, NumPy, and Jupyter

    by Wes McKinney ...
    Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney ... Read more

    £39.89

  • Deciphering Data Architectures

    Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

    by James Serra ...
    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.James Serra, big data and data ... Read more

    £45.29

  • Natural Language Processing with Transformers, Revised Edition

    Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library ... Read more

    £34.09

  • Microsoft Excel VBA Codes Are Fun, Simple, and Easy to Learn In One Hour or Less: VBA for Students, Parents, and Professionals (First Edition)

    by Kenny L Keys ...
    This book is the first of three books to come in a series that is dedicated to making VBA in Microsoft Excel less scary for regular, everyday people. I’m committed to providing tutorials in a way that will allow my books to be as easily understood as watching a cartoon on your television screen; this is why pictorial examples dominates this book; the images will follow me step by step in the ... Read more

    £3.29

  • The Data Journalism Handbook

    How Journalists Can Use Data to Improve the News

    When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.This valuable handbook has attracted scores of contributors since the European ... Read more

    £7.89

  • Google BigQuery: The Definitive Guide

    Data Warehousing, Analytics, and Machine Learning at Scale

    Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to ... Read more

    £34.09

  • TensorFlow for Deep Learning

    From Linear Regression to Reinforcement Learning

    Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the ... Read more

    £25.79

  • Database Internals

    A Deep Dive into How Distributed Data Systems Work

    by Alex Petrov ...
    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 and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.Throughout the book, ... Read more

    £34.09

  • On Being a Data Skeptic

    by Cathy O'Neil ...
    "Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models ... Read more

    Free