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	These reviews are the most popular with readers.   Options: All Media Types Journals Proceedings Div Books Whole Books Other Ranking Date Reviewed Title Author Published Date Descending Ascending For the last: 30 days 60 days 90 days 6 months 1 year all time     1-10 of 32649 results Ranking    The story of proof: logic and the history of mathematics Stillwell J., PRINCETON UNIVERSITY PRESS, Princeton, NJ, 2022. 456 pp.  Type: Book (0691234361), Reviews: (2 of 2) Years ago, several of my colleagues in the university’s mathematics department told me that many high school students no longer study classic plane geometry, the kind of instruction that emphasizes careful logic applied to axioms, postulates... 1      IoT for sustainable smart cities and society Rodrigues J., Agarwal P., Khanna K., Springer International Publishing, Cham, Switzerland, 2022. 338 pp.  Type: Book (303089553X) Before reading this review, take two minutes to reflect upon the following questions:... 2     Advances in data science Demir I., Lou Y., Wang X., Welker K., Springer International Publishing, Cham, Switzerland, 2021. 384 pp.  Type: Book (978-3-030798-90-1) Advances in data science, published as volume 26 in Springer’s “Association for Women in Mathematics” series, summarizes the results from two related workshops--the first one held at the Institute for Computational an... 3     Artificial intelligence: an introduction for the inquisitive reader Chen R., Chen C., CRC Press, Boca Raton, FL, 2022. 344 pp.  Type: Book (978-1-032103-47-1) Chen and Chen present a comprehensive overview of the past decades from a computer science (CS) and artificial intelligence (AI) point of view. The book is not a scientific or technical/technology elaboration since a part of it, or more exactly se... 4      Mathematical foundations of data science using R (2nd ed.) Emmert-Streib F., Moutari S., Dehmer M., DE GRUYTER, Berlin, Germany, 2022. 408 pp.  Type: Book (3110795884) Data science aims to extract relevant information from a large dataset for the purpose of decision making. Data science algorithms rely on several mathematical topics. Computationally, these algorithms can be implemented using several programming ... 5      A review on virtual reality and augmented reality use-cases of brain computer interface based applications for smart cities Kohli V., Tripathi U., Chamola V., Kumar Rout B., Kanhere S. Microprocessors & Microsystems 88(1): 1-13, 2022.  Type: Article Current computing and user interface technologies permit increasingly direct connections between the human brain and computers. The technologies include various types of displays, such as traditional screens, smartphones, or headsets, and electric... 6     Automated annotations for AI data and model transparency Thirumuruganathan S., Kunjir M., Ouzzani M., Chawla S. Journal of Data and Information Quality 14(1): 1-9, 2022.  Type: Article Individuals, organizations, and signals from automatic devices produce enormous amounts of heterogenous data. Data lakes for storage needs are suffice. Beyond storing, the quick deployment of enterprise private data also requires fast analysis. Bu... 7     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 Large enterprises with massive amounts of data require reliable and efficient algorithms for exploring and forecasting trends in available supplies, user purchases, and advertisements. The scalability of the MapReduce approach is advantageous for ... 8      Computational intelligence: a methodological introduction (3rd ed.) Kruse R., Mostaghim S., Borgelt C., Braune C., Steinbrecher M., Springer International Publishing, Cham, Switzerland, 2022. 653 pp.  Type: Book (978-3-030422-26-4) Ideas, more than inventions, change the world. Seen from this perspective, computational intelligence should be viewed, in my opinion, as a set of ideas that find applications in intelligent systems or devices that exhibit intelligent behaviour in... 9     Deep learning and physics Tanaka A., Tomiya A., Hashimoto K., Springer International Publishing, New York, NY, 2021. 220 pp.  Type: Book (978-9-813361-07-2) Machine learning (ML) and particularly deep learning (DL) are used in various physics studies. In this book, the authors show how. They begin by discussing the attributes and theory of ML and its apparent similarities in form to theories in physic... 10         Display 510152550100 per page
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