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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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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
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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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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 ... En savoir plus

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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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Modern Data Protection

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Deep Learning with R for Beginners

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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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Building Medallion Architectures

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Learning Informatica PowerCenter 10.x

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Data Wrangling with Python

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The Economics of Data, Analytics, and Digital Transformation

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Feature Engineering for Machine Learning

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Creating Software with Modern Diagramming Techniques

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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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Artificial Intelligence in Finance

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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

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Data Management Strategy at Microsoft

Best practices from a tech giant's decade-long data transformation journey

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Leverage your data as a business asset, from readiness to actionable insights, and drive exceptional performanceKey FeaturesLearn strategies to create a data-driven culture and align data initiatives with business goalsNavigate the ever-evolving business landscape with a modern data platform and unique Data IPSurpass competitors by harnessing the true value of data and fostering data literacy in ... En savoir plus

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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

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Applied Text Analysis with Python

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par Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda ...

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This ... En savoir plus

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Modern Data Protection

Deep Learning with R for Beginners

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Data Wrangling with Python

The Economics of Data, Analytics, and Digital Transformation

Data Science : fondamentaux et études de cas

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