Top 308 matthieu chapman PDF Book Page 8
Meaningful Futures with Robots: Designing a New Coexistence (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
Judith Dörrenbächer (editor), Ronda Ringfort-Felner (editor), Robin Neuhaus (editor), Marc Hassenzahl (editor)
·292 Pages
·2022
·54.059 MB
Mathematical and Algorithmic Foundations of the Internet (Chapman & Hall CRC Applied Algorithms and Data Structures series)
Fabrizio Luccio
·219 Pages
·2011
·0.95 MB
Controversial Statistical Issues in Clinical Trials (Chapman & Hall CRC Biostatistics Series)
Shein-Chung Chow
·598 Pages
·2011
·6.679 MB
Bayesian Adaptive Methods for Clinical Trials (Chapman & Hall CRC Biostatistics Series)
Scott M. Berry, Bradley P. Carlin, J. Jack Lee, Peter Muller
·307 Pages
·2010
·2.857 MB
AI by Design (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
Catriona Campbell
·155 Pages
·2022
·3.94 MB
Introduction to Mathematics of Satisfiability (Chapman & Hall Crc Studies in Informatics)
Victor W. Marek
·365 Pages
·2009
·5.336 MB
Clinical Trial Data Analysis Using R (Chapman & Hall CRC Biostatistics Series)
Din Chen
·381 Pages
·2010
·4.71 MB
Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
Max Kuhn, Kjell Johnson
·308 Pages
·2019
·46.111 MB
Stochastic Modelling for Systems Biology (Chapman & Hall CRC Mathematical & Computational Biology)
Darren J. Wilkinson
·272 Pages
·2006
·28.21 MB
Portfolio Optimization and Performance Analysis (Chapman & Hall Crc Financial Mathematics Series)
Jean-Luc Prigent
·451 Pages
·2007
·3.179 MB
Linear Models with R (Chapman & Hall CRC Texts in Statistical Science)
Julian J. Faraway
·213 Pages
·2002
·1.02 MB
High Performance Computing: Programming and Applications (Chapman & Hall CRC Computational Science)
John Levesque, Gene Wagenbreth
·239 Pages
·2010
·8.22 MB
Statistical Methods in Health Disparity Research (Chapman & Hall/CRC Biostatistics Series)
J. Sunil Rao
·298 Pages
·2023
·99.948 MB
Engineering Production-Grade Shiny Apps (Chapman & Hall/CRC The R Series)
Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard
·399 Pages
·2021
·26.805 MB
Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
Julian J. Faraway
·255 Pages
·2004
·5.765 MB
Introduction to the Cyber Ranges (Chapman & Hall/Crc Cyber-physical Systems)
Bishwajeet Pandey, Shabeer Ahmad
·205 Pages
·2022
·13.053 MB
Textual Data Science with R (Chapman & Hall/CRC Computer Science & Data Analysis)
Mónica Bécue-Bertaut
·213 Pages
·2019
·28.957 MB
Semisupervised Learning for Computational Linguistics (Chapman & Hall/CRC Computer Science & Data Analysis)
Steven Abney
·322 Pages
·2007
·5.25 MB
Distributed Systems: An Algorithmic Approach (Chapman & Hall/CRC Computer & Information Science Series)
Sukumar Ghosh
·389 Pages
·2006
·2.012 MB
Niche Modeling: Predictions from Statistical Distributions (Chapman & Hall CRC Mathematical & Computational Biology)
David Stockwell
·207 Pages
·2006
·2.863 MB
Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
·2021
·63.354 MB
Dose Finding by the Continual Reassessment Method (Chapman & Hall CRC Biostatistics Series)
Ying Kuen Cheung
·200 Pages
·2011
·2.01 MB
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