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How Charts Lie(2020) CAIRO, ALBERTO (UNIVERSITY OF MIAMI)A leading data visualisation expert explores the negative—and positive-influences that charts have on our perception of truthVezava: Mehka20,89 €
CAIRO, ALBERTO (UNIVERSITY OF MIAMI)
How Charts Lie
A leading data visualisation expert explores the negative—and positive-influences that charts have on our perception of truth
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Essentials of Statistics for Business & Economics(2019) ANDERSON, DAVID (UNIVERSITY OF CINCINNATI),SWEENEY, DENNIS (UNIVERSITY OF CINCINNATI),WILLIAMS, THOMAS (ROCHESTER INSTITUTE OF TECHNOLOGY),FRY, MICHAEL (UNIVERSITY OF CINCINNATI),OHLMANN, JEFFREY (UNIVERSITY OF IOWA),CAMM, JEFFREY (WAKE FOREST UNIVERSITY),COCHRAN, JAMES (UNIVERSITY OF ALABAMA)Vezava: Trda148,92 €
ANDERSON, DAVID (UNIVERSITY OF CINCINNATI),SWEENEY, DENNIS (UNIVERSITY OF CINCINNATI),WILLIAMS, THOMAS (ROCHESTER INSTITUTE OF TECHNOLOGY),FRY, MICHAEL (UNIVERSITY OF CINCINNATI),OHLMANN, JEFFREY (UNIVERSITY OF IOWA),CAMM, JEFFREY (WAKE FOREST UNIVERSITY),COCHRAN, JAMES (UNIVERSITY OF ALABAMA)
Essentials of Statistics for Business & Economics
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Machine Learning for Factor Investing: R Version(2020) COQUERET, GUILLAUME,GUIDA, TONYThe aim of the book is to give an interpretation of ML tools through the lens of factor investing. Concepts illustrated with examples on the same (public) dataset throughout the book. Provides code samples and the corresponding results so that anybody canVezava: Mehka117,02 €
COQUERET, GUILLAUME,GUIDA, TONY
Machine Learning for Factor Investing: R Version
The aim of the book is to give an interpretation of ML tools through the lens of factor investing. Concepts illustrated with examples on the same (public) dataset throughout the book. Provides code samples and the corresponding results so that anybody can
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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: Trda118,72 €
BOUVEYRON, CHARLES,CELEUX, GILLES,MURPHY, T. BRENDAN (UNIVERSITY COLLEGE DUBLIN),RAFTERY, ADRIAN E. (UNIVERSITY OF WASHINGTON)
Model-Based Clustering and Classification for Data Science
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 predictio
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Schaum's Outline of Statistics and Econometrics, Second Edition(2011) SALVATORE, DOMINICK,REAGLE, DERRICKVezava: Mehka38,90 €
SALVATORE, DOMINICK,REAGLE, DERRICK
Schaum's Outline of Statistics and Econometrics, Second Edition
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Spreadsheet Modeling and Decision Analysis(2021) RAGSDALE, CLIFF (VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY)Vezava: Trda138,75 €
RAGSDALE, CLIFF (VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY)
Spreadsheet Modeling and Decision Analysis
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