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  • Big Data Infrastructure Technologies for Data Analytics

    Scaling Data Science Applications for Continuous Growth

    Series series Professional and Applied Computing (R0)
    This book provides a comprehensive overview and introduction to Big Data Infrastructure technologies, existing cloud-based platforms, and tools for Big Data processing and data analytics, combining both a conceptual approach in architecture design and a practical approach in technology selection and project implementation.Readers will learn the core functionality of major Big Data Infrastructure ... Leer más

    $71.99 USD

  • Data Analytics

    A Theoretical and Practical View from the EDISON Project

    Series series Computer Science (R0)
    Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools.Designed as a ... Leer más

    $179.99 USD

  • The Data Science Framework

    A View from the EDISON Project

    Series series Computer Science (R0)
    This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation ... Leer más

    $152.09 USD

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  • Continuous Delivery

    Reliable Software Releases through Build, Test, and Deployment Automation

    Series series Addison-Wesley Signature Series (Fowler)
    Winner of the 2011 Jolt Excellence Award!Getting software released to users is often a painful, risky, and time-consuming process.This groundbreaking new book sets out the principles and technical practices that enablerapid, incremental delivery of high quality, valuable new functionality to users. Throughautomation of the build, deployment, and testing process, and improved collaboration ... Leer más

    $52.19 USD

  • Data Analysis with Open Source Tools

    A Hands-On Guide for Programmers and Data Scientists

    Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ... Leer más

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  • Software Architecture in Practice

    Series series SEI Series in Software Engineering
    The Definitive, Practical, Proven Guide to Architecting Modern Software--Fully Updated with New Content on Mobility, the Cloud, Energy Management, DevOps, Quantum Computing, and MoreUpdated with eleven new chapters, Software Architecture in Practice, Fourth Edition, thoroughly explains what software architecture is, why it's important, and how to design, instantiate, analyze, evolve, and manage it ... Leer más

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  • Lessons Learned in Software Testing

    A Context-Driven Approach

    Decades of software testing experience condensed into the most important lessons learned.The world's leading software testing experts lend you their wisdom and years of experience to help you avoid the most common mistakes in testing software. Each lesson is an assertion related to software testing, followed by an explanation or example that shows you the how, when, and why of the testing lesson. ... Leer más

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  • Solutions Architect's Handbook

    Kick-start your career as a solutions architect by learning architecture design principles and strategies

    Third edition out now with coverage on Generative AI, clean architecture, edge computing, and moreKey FeaturesTurn business needs into end-to-end technical architectures with this practical guideAssess and overcome various challenges while updating or modernizing legacy applicationsFuture-proof your architecture with IoT, machine learning, and quantum computingBook DescriptionBecoming a solutions ... Leer más

    $64.99 USD o gratis con Kobo Plus

  • Essential Math for AI

    Next-Level Mathematics for Efficient and Successful AI Systems

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    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 ... Leer más

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  • The Data Model Resource Book

    Volume 3: Universal Patterns for Data Modeling

    This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling ... Leer más

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  • Practice of Cloud System Administration, The

    DevOps and SRE Practices for Web Services, Volume 2

    “There’s an incredible amount of depth and thinking in the practices described here, and it’s impressive to see it all in one place.”—Win Treese, coauthor of Designing Systems for Internet CommerceThe Practice of Cloud System Administration, Volume 2, focuses on “distributed” or “cloud” computing and brings a DevOps/SRE sensibility to the practice of system administration. Unsatisfied with books ... Leer más

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  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... Leer más

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