Library: Library Resources for IN400: Readings

Articles

See the Readings section of your course and Syllabus for details on when these articles are assigned and any other course requirements.

Singla, R., Singla, A., Gupta, Y., & Kalra, S. (2019). Artificial intelligence/machine learning in diabetes care. Indian Journal of Endocrinology & Metabolism, 23(4), 495–497.
Lokman, B., & Tunde, P. (2019). Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology. Asia-Pacific Journal of Ophthalmology, 8(3), 264-272.
Kutalmış Büyük, S., & Hatal, S. (2019). Artificial intelligence and machine learning in orthodontics. Ortadogu Medical Journal, 11(4), 517–523.
Zhu, Y., Xie, C., Wang, G.-J., & Yan, X.-G. (2017). Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Neural Computing & Applications, 28, 41–50.
Leekha, A., Wadhwa, A., Jain, N., & Wadhwa, M. (2018). Understanding the impact of news on stock market trends using natural language processing and machine. International Journal of Knowledge Based Computer Systems, 6(2), 23–30.
Ülke, V., Sahin, A., & Subasi, A. (2018). A comparison of time series and machine learning models for inflation forecasting: empirical evidence from the USA. Neural Computing & Applications, 30(5), 1519–1527.
Wills, E. (2019). AI vs. Machine learning: The devil is in the details. Machine Design, 91(9), 56-60.

Primary Texts

The following texts are found in PG Library databases. See the Readings section of your course and Syllabus for additional details like assigned chapters and other resources.

Library Resources for IN400

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Library Resources for IN400

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Articles

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Purdue Global
Library
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Library Resources for IN400
Readings