61 rezultatov
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First Course in Random Matrix Theory(2020) POTTERS, MARC,BOUCHAUD, JEAN-PHILIPPEClassical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real worldVezava: Trda110,25 € -
Sentiment Analysis(2020) LIU, BING (UNIVERSITY OF ILLINOIS, CHICAGO)Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management sciencVezava: Trda129,50 € -
Data Science on the Google Cloud Platform(2022) LAKSHMANAN, VALLIAPPAThis hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of dataVezava: Mehka82,59 € -
Data Quality Fundamentals(2022) MOSES, BARR,GAVISH, LIOR,VORWERCK, MOLLYDo your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you ansVezava: Mehka68,39 € -
Snowflake - The Definitive Guide(2022) AVILA, JOYCE KAYSnowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users within an organization to make data-driven decisions. This clear, comprehensive guide will show you hoVezava: Mehka82,59 € -
Humanities Data Analysis(2021) KARSDORP, FOLGERT,KESTEMONT, MIKE,RIDDELL, ALLENA practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patternVezava: Trda74,37 € -
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Big Data(2017) HOLMES, DAWN E. (FACULTY MEMBER, DEPARTMENT OF STATISTICS AND APPLIED PROBABILITY, UNIVERSITY OF CALIFORNIA, SANTA BARBARA)An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technolVezava: Mehka14,01 € -
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: Trda134,75 € -
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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 € -
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 € -
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 € -
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 € -
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 € -
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 €
