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Data Processing eBooks

If you like Data Processing eBooks, then you'll love these top picks.
Showing 73 - 96 of 3796 Results
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  • Thinking Clearly with Data

    A Guide to Quantitative Reasoning and Analysis

    An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking ... Read more

    $28.79 USD

  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust ... Read more

    $37.79 USD or Free with Kobo Plus

  • AI-Assisted Statistics for Data Scientists

    50+ Essential Concepts Using R and Python

    Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models ... Read more

    $48.99 USD

  • 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

    $43.19 USD

  • Deep Learning from Scratch

    Building with Python from First Principles

    by Seth Weidman ...
    With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, ... Read more

    $41.09 USD

  • Cloud Native Data Center Networking

    Architecture, Protocols, and Tools

    If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you’re pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that’s affordable, high capacity, easy to manage, agile, and ... Read more

    $36.79 USD

  • Essential Math for AI

    Next-Level Mathematics for Efficient and Successful AI Systems

    by Hala Nelson ...
    Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine ... Read more

    $48.99 USD

  • Graph Databases

    New Opportunities for Connected Data

    Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the ... Read more

    $30.99 USD

  • Analytics the Right Way

    A Business Leader's Guide to Putting Data to Productive Use

    CLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATIONOrganizations have more data at their fingertips than ever, and their ability to put that data to productive use should be a key source of sustainable competitive advantage. Yet, business leaders looking to tap into a steady and manageable stream of “actionable insights” often, instead, get blasted with ... Read more

    $21.00 USD

  • Measuring Data Quality for Ongoing Improvement

    A Data Quality Assessment Framework

    Series series The Morgan Kaufmann Series on Business Intelligence
    The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather ... Read more

    $44.99 USD

  • Learning Elastic Stack 7.0

    Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

    A beginner\\'s guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook DescriptionThe Elastic ... Read more

    $26.59 USD or Free with Kobo Plus

  • Bad Data Handbook

    Cleaning Up The Data So You Can Get Back To Work

    What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems.From cranky storage to poor representation to misguided policy, there are many paths to ... Read more

    $23.09 USD

  • Meganets

    How Digital Forces Beyond Our Control Commandeer Our Daily Lives and Inner Realities

    How the autonomous digital forces jolting our lives – as uncontrollable as the weather and plate tectonics – are transforming life, society, culture, and politics.David Auerbach’s exploration of the phenomenon he has identified as the meganet begins with a simple, startling revelation: There is no hand on the tiller of some of the largest global digital forces that influence our daily lives: from ... Read more

    $18.99 USD

  • The Minimum You Need to Know to Be an OpenVMS Application Developer

    by Roland Hughes ...
    For years now the question has been surfacing in the OpenVMS community "Where are the pimply faced kids?" The other situation which seems to continually occur is a developer of one language suddenly finding themselves having to modify or maintain an appli ... Read more

    $57.59 USD

  • Database Design and Relational Theory

    Normal Forms and All That Jazz

    by C.J. Date ...
    What makes this book different from others on database design? Many resources on design practice do little to explain the underlying theory, and books on design theory are aimed primarily at theoreticians. In this book, renowned expert Chris Date bridges the gap by introducing design theory in ways practitioners can understand—drawing on lessons learned over four decades of experience to ... Read more

    $28.09 USD

  • AI-Powered Search

    Apply cutting-edge machine learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results.Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the ... Read more

    $58.99 USD

  • Natural Language Annotation for Machine Learning

    A Guide to Corpus-Building for Applications

    Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... Read more

    $23.09 USD

  • Data Quality Fundamentals

    A Practitioner's Guide to Building Trustworthy Data Pipelines

    Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you.Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't ... Read more

    $41.09 USD

  • Semantic Modeling for Data

    What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics.In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied ... Read more

    $55.49 USD

  • Mastering Kafka Streams and ksqlDB

    by Mitch Seymour ...
    Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.Mitch Seymour, data ... Read more

    $48.99 USD

  • Think Bayes

    If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real ... Read more

    $34.59 USD

  • Web Database Applications with PHP and MySQL

    Building Effective Database-Driven Web Sites

    There are many reasons for serving up dynamic content from a web site: to offer an online shopping site, create customized information pages for users, or just manage a large volume of content through a database. Anyone with a modest knowledge of HTML and web site management can learn to create dynamic content through the PHP programming language and the MySQL database. This book gives you the ... Read more

    $28.79 USD

  • Natural Language Processing with PyTorch

    Build Intelligent Language Applications Using Deep Learning

    Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.Authors Delip Rao and Brian McMahon ... Read more

    $61.19 USD

  • A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face

    Are you ready to fine-tune your own LLMs?This book is a practical guide to fine-tuning Large Language Models (LLMs), combining high-level concepts with step-by-step instructions to train these powerful models for your specific use cases.Who Is This Book For?This is an intermediate-level resource—positioned between building a large language model from scratch and deploying an LLM in producti... ... Read more

    $9.95 USD