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Machine Learning Theory and Practice | Scholar Publishing Group

Machine Learning Theory and Practice

ISSN: 2790-0983

Machine learning is one of the most intelligent and forward research fields in artificial intelligence. It covers many disciplines such as statistics, probability theory, approximation theory, convex analysis, algorithm complexity, etc. The journal Machine Learning focuses on the study of pedagogy, applied economics, mechanical engineering, computer science and technology, control science and engineering, etc.

In this journal, the researches on machine learning is developing rapidly, the application scope of learning methods is also expanding, and even some of the research findings have been transformed into products. It is intended to share the academic achievements, theories, techniques and existing problems of this topic, and summarize the research experience of the authors in order to improve the overall academic level of machine learning.

Original articles on machine learning are welcomed. The articles are expected to cover research methods, research progress, and research findings in some areas of machine learning.

TEM Image Analysis of Ceramic Nanoparticles Based on Machine Learning

Manoj Kautish

Abstract | References | PDF | HTML | Pub. Date: May 31, 2021

DOI: 10.38007/ML.2021.020206 | Downloads: 0 | Views: 25

Postgraduate Teaching Reform Based on Machine Learning and Improved SVM Algorithm

Malik Alassery

Abstract | References | PDF | HTML | Pub. Date: May 31, 2021

DOI: 10.38007/ML.2021.020205 | Downloads: 0 | Views: 26

Massive Travel Data Based on Cloud Computing

Yanlin Ma, Wengu Ren and Jiahong Huang

Abstract | References | PDF | HTML | Pub. Date: May 31, 2021

DOI: 10.38007/ML.2021.020203 | Downloads: 0 | Views: 28

Functional Design of Home Service Robot Based on FAHP-FAST Combination Method

Jie Zhang and Bo Zhang

Abstract | References | PDF | HTML | Pub. Date: May 31, 2021

DOI: 10.38007/ML.2021.020201 | Downloads: 0 | Views: 98