Introduction to Supervised Machine Learning for Data Science

DOI10.4036/IIS.2020.A.03zbMath1475.68260OpenAlexW3113620178MaRDI QIDQ5158414

Kazunori D. Yamada, Atsushi Koike, Mohammad Samy Baladram

Publication date: 22 October 2021

Published in: Interdisciplinary Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4036/iis.2020.a.03

zbMATH Keywords

neural networknonlinear optimizationsupervised learningkernel methodensemble learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Uses Software

• L-BFGS
• C4.5
• ImageNet
• Adam
• AlexNet
• ADADELTA

Cites Work

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• On the limited memory BFGS method for large scale optimization
• Bootstrap methods: another look at the jackknife
• Updating Quasi-Newton Matrices with Limited Storage
• Learning representations by back-propagating errors
• Approximation by superpositions of a sigmoidal function

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