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Reviews in category "
Probability And Statistics (G.3)"
Date Reviewed
Data science: an introduction to statistics and machine learning
Plaue M., Springer International Publishing, Cham, Switzerland, 2023. 385 pp. Type: Book (3662678810)
Mar 1 2024
Distributional reinforcement learning
Bellemare M., Dabney W., Rowland M., MIT Press, Cambridge, Massachucetts, 2023. 384 pp. Type: Book (0262048019)
Feb 5 2024
Parallel-and-stream accelerator for computationally fast supervised learning
Hector E., Luo L., Song P. Computational Statistics & Data Analysis 177(1): 1-12, 2022. Type: Article
Feb 20 2023
Excel 2019 for physical sciences statistics: a guide to solving practical problems (2nd ed.)
Quirk T., Quirk M., Horton H., Springer International Publishing, Cham, Switzerland, 2021. 264 pp. Type: Book (978-3-030632-37-3)
Oct 31 2022
Bringing Bayesian models to life
Hooten M., Hefley T., CRC Press, Boca Raton, FL, 2019. 573 pp. Type: Book (978-0-367198-48-0)
Aug 23 2022
Statistics for data scientists: an introduction to probability, statistics, and data analysis
Kaptein M., van den Heuvel E., Springer International Publishing, Cham, Switzerland, 2022. 348 pp. Type: Book (978-3-030105-30-3)
Jul 7 2022
A First Look at Stochastic Processes
Rosenthal J., WORLD SCIENTIFIC, Singapore, 2020. 202 pp. Type: Book (978-9-811208-97-3)
Jul 1 2022
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