These reviews have been chosen by the editors to be highlighted.
All Media Types
Hertwig R., Pleskac T., Pachur T., Center for Adaptive Rationality ., The MIT Press, Cambridge, MA, 2019. 488 pp. Type: Book (978-0-262039-87-1), Reviews: (2 of 2)
Humans are not the rational optimizers posited by classical economics or the axiomatic game theory of von Neumann and Morgenstern. Since 2012, the Center for Adaptive Rationality at the Max Planck Institute for Human Development in Berlin has been...
Sep 14 2020
Understand, manage, and prevent algorithmic bias: a guide for business users and data scientists
Baer T., Apress, New York, NY, 2019. 260 pp. Type: Book (978-1-484248-84-3)
This is one of the most enlightening books about the hidden risks of applying machine learning techniques, and particularly algorithms, in decision making. The book unveils the many potential sources of algorithmic bias, raising serious questions ...
Sep 8 2020
Data architecture: a primer for the data scientist (2nd ed.)
Inmon W., Linstedt D., Levins M., Academic Press, Inc., San Diego, CA, 2019. 431 pp. Type: Book (978-0-128169-16-2)
Showing a perceptible pattern as a line-edited transcript consolidated from one or more slide-based seminars, this book provides many illustrations that would otherwise have been the focus of a presenter’s lecture and interactive session. Ho...
Aug 31 2020
Transportation systems: managing performance through advanced maintenance engineering
Singh S., Martinetti A., Majumdar A., van Dongen L., Springer International Publishing, New York, NY, 2019. 221 pp. Type: Book
This review is being written in the midst of the most terrible calamity that anyone can remember. It is ironic that this magnificent contribution is edited by four giants of transportation literature who are also from four lands deeply affected by...
Aug 24 2020
The effects of mixing machine learning and human judgment
Vaccaro M., Waldo J. Communications of the ACM 62(11): 104-110, 2019. Type: Article
Automated risk assessment systems are often used in situations that require human judgment. One motivation for doing this is to remove human bias. Even when the automated system has been shown to be more accurate than human assessments, a team com...
Aug 17 2020
A domain theory for statistical probabilistic programming
Vákár M., Kammar O., Staton S. Proceedings of the ACM on Programming Languages 3(POPL): 1-29, 2019. Type: Article
On the one hand, a statistical programming language is similar to a traditional programming language, but with libraries providing statistical functions. Examples are Mathematica, MATLAB, and the omnipresent R. On the other hand, probabilistic pro...
Aug 10 2020
Toward automatic verification of quantum programs
Ying M. Formal Aspects of Computing 31(1): 3-25, 2019. Type: Article
Even if a world of quantum computing for everyone is years (if not decades) away, research on designing proper ways to program such systems has been ongoing for quite some time. History shows that programming is hard; making correct programs, that...
Aug 3 2020
Design of low power integrated radios for emerging standards
Rahman M., Harjani R., Springer International Publishing, New York, NY, 2020. 71 pp. Type: Book (978-3-030213-32-9)
Low power radios are in high demand for use in Internet of Things (IoT) devices, where there is a need for small, efficient, and low powered radios for wireless data communications. This book is part of Springer’s “Analog Circuits and ...
Jul 27 2020
Bayesian synthesis of probabilistic programs for automatic data modeling
Saad F., Cusumano-Towner M., Schaechtle U., Rinard M., Mansinghka V. Proceedings of the ACM on Programming Languages 3(POPL): 1-32, 2019. Type: Article
Somewhat overshadowed by neural networks (NN) is another thread in machine learning: the Bayesian-based approach. Less data hungry, it also has the promise of being closer to explainable artificial intelligence (XAI), although it hasn’t had ...
Jul 20 2020
Engineering resilient collective adaptive systems by self-stabilisation
Viroli M., Audrito G., Beal J., Damiani F., Pianini D. ACM Transactions on Modeling and Computer Simulation 28(2): 1-28, 2018. Type: Article
Smart cities, together with the Internet of Things (IoT), are becoming reality at an accelerated speed, supported by the fifth generation of mobile technology (5G) and other advances in technology. The supporting networked computational systems in...
Jul 13 2020
Reproduction in whole or in part without permission is prohibited. Copyright © 2000-2020 ThinkLoud, Inc.