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eBooks Modélisation de données et conception

Si vous aimez les titres Modélisation de données et conception, vous allez adorer cette sélection.
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  • Visualizing Data

    Exploring and Explaining Data with the Processing Environment

    par Ben Fry ...
    Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.How do the 3.1 billion A, C, G and T letters ... En savoir plus

    CHF 18.25

  • Power Pivot and Power BI

    The Excel User's Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016

    par Rob Collie, Avichal Singh ...
    Microsoft PowerPivot is a free add-on to Excel from Microsoft that allows users to produce new kinds of reports and analyses that were simply impossible before, and this book is the first to tackle DAX formulas, the core capability of PowerPivot, from the perspective of the Excel audience. Written by the world's foremost PowerPivot blogger and practitioner, the book's concepts and approach are ... En savoir plus

    CHF 20.65 ou Gratuit avec Kobo Plus

  • TinyML

    Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

    par Pete Warden, Daniel Situnayake ...
    Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can ... En savoir plus

    CHF 24.51

  • Database in Depth

    Relational Theory for Practitioners

    par C.J. Date ...
    This book sheds light on the principles behind the relational model, which is fundamental to all database-backed applications--and, consequently, most of the work that goes on in the computing world today. Database in Depth: The Relational Model for Practitioners goes beyond the hype and gets to the heart of how relational databases actually work.Ideal for experienced database developers and ... En savoir plus

    CHF 16.00

  • Hands-On Large Language Models

    Language Understanding and Generation

    par Jay Alammar, Maarten Grootendorst ...
    AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these ... En savoir plus

    CHF 38.67

  • Dataclysm

    Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

    par Christian Rudder ...
    **A New York Times BestsellerAn audacious, irreverent investigation of human behavior—and a first look at a revolution in the making**Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we truly are.For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, ... En savoir plus

    CHF 10.04

  • Automating Data Quality Monitoring

    Scaling Beyond Rules with Machine Learning

    par Jeremy Stanley, Paige Schwartz ...
    The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data--used to build products, power AI systems, and drive business decisions--is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality records.Most data engineers, data analysts, and data ... En savoir plus

    CHF 32.41

  • Game Design

    Come realizzare game app di successo

    par Michele Gotuzzo ...
    Negli ultimi anni una vera e propria rivoluzione digitale ha coinvolto tutti i processi uomo-macchina. Un aspetto fondamentale è stato l’evoluzione del gioco tradizionale in gioco digitale, che ha portato a modificare gran parte delle nostre abitudini in termini sia di “passatempo” sia di accesso all’istruzione e alle informazioni in generale. Con l’enorme diffusione degli smartphone e i nuovi ... En savoir plus

    CHF 19.00

  • Mastering Tableau 2019.1

    An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1

    par Marleen Meier, David Baldwin ...
    Build, design and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep, Tableau Hyper, and Tableau ServerKey FeaturesMaster new features in Tableau 2019.1 to solve real-world analytics challengesPerform Geo-Spatial Analytics, Time Series Analysis, and self-service analytics using real-life examplesBuild and publish dashboards and explore ... En savoir plus

    CHF 35.08 ou Gratuit avec Kobo Plus

  • Fundamentals of Data Engineering

    Plan and Build Robust Data Systems

    par Joe Reis, Matt Housley ...
    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 ... En savoir plus

    CHF 38.67

  • R for Data Science

    Import, Tidy, Transform, Visualize, and Model Data

    par Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund ...
    Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You ... En savoir plus

    CHF 38.67

  • Artificial Intelligence in Finance

    par Yves Hilpisch ...
    The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets ... En savoir plus

    CHF 43.80

  • Apache Kafka Quick Start Guide

    Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

    par Raúl Estrada ...
    Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0Key FeaturesSolve practical large data and processing challenges with KafkaTackle data processing challenges like late events, windowing, and watermarkingUnderstand real-time streaming applications processing using Schema registry, Kafka connect, ... En savoir plus

    CHF 24.00 ou Gratuit avec Kobo Plus

  • R Graphics Cookbook

    Practical Recipes for Visualizing Data

    par Winston Chang ...
    This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.Most of the recipes use the ggplot2 package, a powerful and flexible way to ... En savoir plus

    CHF 18.25

  • Data Wrangling with Python

    Tips and Tools to Make Your Life Easier

    par Jacqueline Kazil, Katharine Jarmul ...
    How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to ... En savoir plus

    CHF 24.51

  • Scaling Python with Dask

    From Data Science to Machine Learning

    par Holden Karau, Mika Kimmins ...
    Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including ... En savoir plus

    CHF 38.67

  • Data Governance: The Definitive Guide

    par Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown ...
    As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively ... En savoir plus

    CHF 38.67

  • Data Science for Business

    What You Need to Know about Data Mining and Data-Analytic Thinking

    par Foster Provost, Tom Fawcett ...
    Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course ... En savoir plus

    CHF 24.51

  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    par Alice Zheng, Amanda Casari ...
    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... En savoir plus

    CHF 29.03

  • Extreme DAX

    Take your Power BI and Microsoft data analytics skills to the next level

    par Michiel Rozema, Henk Vlootman ...
    Discover the true power of DAX and build advanced DAX solutions for practical business scenariosKey FeaturesSolve complex business problems within Microsoft BI tools including Power BI, SQL Server, and ExcelDevelop a conceptual understanding of critical business data modeling principlesLearn the subtleties of Power BI data visualizations, evaluation context, context transition, and filteringBook ... En savoir plus

    CHF 41.54 ou Gratuit avec Kobo Plus

  • The BPMN Graphic Handbook

    par Esteban Herrera ...
    - Do you want to know the purpose of all the diagrams and elements of BPMN in an easy way?- Do you want a quick reference to the most useful parts of BPMN?- Are you tired of reading books full of boring text (and in small font)?The BPMN Graphic Handbook is the solution to these problems.This book describes all the major BPMN diagram types, what they're used for, and the basic notation involved in ... En savoir plus

    CHF 6.50

  • Python Data Science Essentials

    Learn the fundamentals of Data Science with Python

    par Luca Massaron, Alberto Boschetti ...
    Become an efficient data science practitioner by understanding Python\\'s key conceptsKey Features\[\*\] Quickly get familiar with data science using Python 3.5\[\*\] Save time (and effort) with all the essential tools explained\[\*\] Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceBook DescriptionFully expanded and ... En savoir plus

    CHF 35.08 ou Gratuit avec Kobo Plus

  • The Economics of Data, Analytics, and Digital Transformation

    The theorems, laws, and empowerments to guide your organization's digital transformation

    par Bill Schmarzo ...
    Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine LearningKey FeaturesMaster the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindsetAcquire implementable knowledge on digital ... En savoir plus

    CHF 32.31 ou Gratuit avec Kobo Plus

  • Cloud Native Development Patterns and Best Practices

    Practical architectural patterns for building modern, distributed cloud-native systems

    par John Gilbert ...
    Learn to apply cloud-native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidenceKey FeaturesUnderstand the architectural patterns involved in cloud-native architecturesMinimize risk by evolving your monolithic applications into distributed cloud-native systemsDiscover best practices for applying cloud-native patterns to your enterprise-level ... En savoir plus

    CHF 35.08 ou Gratuit avec Kobo Plus