71 rezultatov
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Model-Based Clustering and Classification for Data Science(2019) BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and predictioVezava: Trda127,75 €
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Building Real-Time Analytics Systems(2023) NEEDHAM, MARKWith this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changeVezava: Mehka68,39 €
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R for Data Science(2023) WICKHAM, HADLEY,CETINKAYA-RUNDEL, MINE,GROLEMUND, GARRETTIdeal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have nVezava: Mehka82,59 €
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Hands-On Data Visualization(2021) DOUGHERTY, JACKTell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google SheetsVezava: Mehka68,39 €
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Mastering Shiny(2021) WICKHAM, HADLEYHadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R.Vezava: Mehka82,59 €
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Managing Data Quality(2020) KING, TIM,SCHWARZENBACH, JULIANThis book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.Vezava: Mehka53,45 €
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Exploring Big Historical Data: The Historian's Macroscope(2022) GRAHAM, SHAWN (CARLETON UNIV, CANADA),MILLIGAN, IAN (UNIV OF WATERLOO, CANADA),WEINGART, SCOTT B (UNIV OF NOTRE DAME, USA),MARTIN, KIMBERLEY (UNIV OF GUELPH, CANADA)Vezava: Mehka73,83 €
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Practical Data Privacy(2023) JARMUL, KATHARINEThis essential guide will give you solid advice and best practices on breakthrough privacy-enhancing technologies such as encrypted learning and differential privacy--as well as a look at emerging technologies and techniques in the field.Vezava: Mehka68,39 €
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Data Stewardship(2020) PLOTKIN, DAVID (ADVISORY CONSULTANT, EMC2, WORKING IN ENTERPRISE INFORMATION MANAGEMENT)Vezava: Mehka77,10 €