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Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

Richard S. Segall, Vidhya Sankarasubbu
Copyright: © 2022 |Volume: 12 |Issue: 1 |Pages: 28
ISSN: 2642-1577|EISSN: 2642-1585|EISBN13: 9781683183907|DOI: 10.4018/IJAIML.307905
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MLA

Segall, Richard S., and Vidhya Sankarasubbu. "Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools." IJAIML vol.12, no.1 2022: pp.1-28. http://doi.org/10.4018/IJAIML.307905

APA

Segall, R. S. & Sankarasubbu, V. (2022). Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools. International Journal of Artificial Intelligence and Machine Learning (IJAIML), 12(1), 1-28. http://doi.org/10.4018/IJAIML.307905

Chicago

Segall, Richard S., and Vidhya Sankarasubbu. "Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools," International Journal of Artificial Intelligence and Machine Learning (IJAIML) 12, no.1: 1-28. http://doi.org/10.4018/IJAIML.307905

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Abstract

This article provides an overview with examples of what Neural Networks (NN), Machine Learning (ML), and Artificial Intelligence (AI) and Data Analytics are, and with their applications in business, urban and biomedical situations. The characteristics of 29 types of neural networks are provided including their distinctive graphical illustrations. A survey of current open-source software (OSS) for neural networks, neural network software available for free trial download for limited time use, open-source software (OSS) for Machine Learning (ML), and open-source software (OSS) for Data Analytics tools are provided. Characteristics of Artificial Intelligence (AI) technologies for Machine Learning available as open-source are discussed. Illustrations of applications of Neural Networks, Machine Learning, and Artificial Intelligence are presented as used in the daily operations of a large international-based software company for optimal configuration of their Helix Data Capacity system and other.