نتایج جستجو
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Image Processing and Acquisition using Python (Chapman & Hall/CRC The Python Series)
Ravishankar Chityala, Sridevi Pudipeddi, 2020
Metamodeling for Variable Annuities (Chapman and Hall/CRC Financial Mathematics Series)
Guojun Gan, Emiliano A. Valdez, 2019
Extending Structures: Fundamentals and Applications (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
Ana Agore, Gigel Militaru, 2019
Actions and Invariants of Algebraic Groups (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
Walter Ricardo Ferrer Santos, Alvaro Rittatore, 2016
Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series)
Paola Zuccolotto, Marica Manisera, 2020
Topological Methods for Differential Equations and Inclusions (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
john R. Graef, Johnny Henderson, Abdelghani Ouahab, 2018
R Markdown Cookbook (Chapman & Hall/CRC The R Series)
Yihui Xie, 2020
Advanced R Solutions (Chapman & Hall/CRC: The R Series)
Malte Grosser, Henning Bumann, Hadley Wickham, 2021
Event History Analysis with R (Chapman & Hall/CRC: The R Series)
Göran Broström, 2021
Mixed-Mode Official Surveys: Design and Analysis (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Barry Schouten, Jan van den Brakel, Bart Buelens, Deirdre Giesen, Annemieke Luiten, Vivian Meertens, 2021
Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
Max Kuhn, Kjell Johnson, 2019
Engineering Production-Grade Shiny Apps (Chapman & Hall/CRC The R Series)
Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard, 2021
Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)
Marco Scutari, Jean-Baptiste Denis, 2021
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (Chapman & Hall/CRC Interdisciplinary Statistics)
Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu, 2021