Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools-Reference-Cited by-同舟云学术

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

Published:2022-07-21 Issue:1 Volume:12 Page:1-28
ISSN:2642-1577
Container-title:International Journal of Artificial Intelligence and Machine Learning
language:ng
Short-container-title:

Author:

Segall Richard S.¹^ORCID,Sankarasubbu Vidhya¹

Affiliation:

1. Arkansas State University, USA

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.

Publisher

IGI Global

Subject

General Medicine

Reference91 articles.

1. G2. (2020). Best machine learning software. Retrieved May 31, 2020, from https://www.g2.com/categories/machine-learning#grid

2. Algorithmia. (2019). Six Open-Source Machine Learning Tools you should know. December 19. Retrieved November 24, 2020, from https://algorithmia.com/blog/six-open-source-machine-learning-tools-you-should-know

3. A Bio-Inspired Algorithm for Virtual Machines Allocation in Public Clouds

4. Allen, R. (2017). Cheat Sheet of Machine Learning and Python (and Math) Cheat Sheets. Retrieved December 30, 2020, from https://medium.com/machine-learning-in-practice/cheat-sheet-of-machine-learning-and-python-and-math-cheat-sheets-a4afe4e791b6

5. Biedenbender, C., Berleant, D., Eversole, K., E. Hood, E., Leach, L., Mustell, R., R. Segall, R., & Vicuna, D. (2011). Text Mining: Using Rule-Based and Neural Network-Based Approaches,.2011 the University of Arkansas at Little Rock (UALR) Student Research Expo.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Financial Inclusion;The Sustainable Fintech Revolution;2023-09-15