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Visualizing Data

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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

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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
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Power Pivot and Power BI

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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
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Dataclysm

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**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,
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Hands-On Large Language Models

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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

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Database in Depth

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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
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TinyML

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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

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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
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Designing Data-Intensive Applications

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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 ... En savoir plus

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Feature Engineering for Machine Learning

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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

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Creating Software with Modern Diagramming Techniques

Build Better Software with Mermaid

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Diagrams communicate relationships more directly and clearly than words ever can. Using only text-based markup, create meaningful and attractive diagrams to document your domain, visualize user flows, reveal system architecture at any desired level, or refactor your code. With the tools and techniques this book will give you, you'll create a wide variety of diagrams in minutes, share them with ... En savoir plus

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Diagrams communicate relationships more directly and clearly than words ever can. Using only text-based markup, create meaningful and attractive diagrams to document your domain, visualize user flows, reveal system architecture at any desired level, or refactor your code. With the tools and techniques this book will give you, you'll create a wide variety of diagrams in minutes, share them with
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Data Governance: The Definitive Guide

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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
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Automating Data Quality Monitoring

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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

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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
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Ethics of Big Data

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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
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Cloud Native Development Patterns and Best Practices

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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

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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
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Game Design

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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

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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
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GraphQL API Design

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Collection Livre 5 - API-University Series
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Data Science : fondamentaux et études de cas

Machine Learning avec Python et R

par Michel Lutz, Eric Biernat ...

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Nous vivons une époque très excitante, qui ramène l'analyse de données et les méthodes quantitatives au coeur de la société. L'aboutissement de nombreux projets de recherche, la puissance de calcul informatique disponible et des données à profusion permettent aujourd'hui d'incroyables réalisations, grâce au travail des data scientists.Un livre de référence pour les data scientistsLa data science ... En savoir plus

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Deep Learning with R for Beginners

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

par Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado ...

Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep ... En savoir plus

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Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep
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Practical Tableau

100 Tips, Tutorials, and Strategies from a Tableau Zen Master

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R Graphics Cookbook

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Modern Data Protection

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Give your organization the data protection it deserves without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators have their work cut out for them to protect physical and virtual machines in the data center and the cloud; mobile devices including laptops and tablets; SaaS services like Microsoft 365, Google Workspace, and ... En savoir plus

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Learning Informatica PowerCenter 10.x

Enterprise data warehousing and intelligent data centers for efficient data management solutions

par Rahul Malewar ...

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Learn Grafana 10.x

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Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guideKey FeaturesInstall, set up, and configure Grafana for real-time data analysis, visualization, and alertingVisualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and ... En savoir plus

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Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guideKey FeaturesInstall, set up, and configure Grafana for real-time data analysis, visualization, and alertingVisualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and
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The Economics of Data, Analytics, and Digital Transformation

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

par Bill Schmarzo ...

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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
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Building Medallion Architectures

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To deliver the insights that give them a competitive advantage, organizations increasingly turn to the proven Medallion architecture. Yet implementing a robust data architecture can be difficult, particularly when it comes to using the Medallion architecture's Bronze, Silver, and Gold layers—done wrong, it can hamper your ability to make data-driven decisions. This practical guide helps you build ... En savoir plus

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To deliver the insights that give them a competitive advantage, organizations increasingly turn to the proven Medallion architecture. Yet implementing a robust data architecture can be difficult, particularly when it comes to using the Medallion architecture's Bronze, Silver, and Gold layers—done wrong, it can hamper your ability to make data-driven decisions. This practical guide helps you build
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Recommandé pour vous

eBooks Modélisation de données et conception

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Dataclysm

Hands-On Large Language Models

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Feature Engineering for Machine Learning

Creating Software with Modern Diagramming Techniques

Data Governance: The Definitive Guide

Automating Data Quality Monitoring

Ethics of Big Data

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Data Science : fondamentaux et études de cas

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