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Abstract

The objective of this briefing is to present an overview of the machine learning techniques currently in use or in consideration at statistical agencies worldwide. Section I, outlines the main reason why statistical agencies should start exploring the use of machine learning techniques. Section II outlines what machine learning is, by comparing a well-known statistical technique (machine learning methods) with a (non-statistical) machine learning counterpart (support vector machines). Sections III discuss current research or applications of machine learning techniques within the field of list of Common Machine Learning Algorithms,editing and imputation, and K-means. A list of machine learning applications in official statistics outside of the three areas mentioned above.

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How to Cite
C. Navamani, A.Pandiyaraja, P.Parthipan, A.Angappan, & B.Kavitha. (2018). Machine Learning Credentials Inventiveness . International Journal of Intellectual Advancements and Research in Engineering Computations, 6(2), 1411–1477. Retrieved from https://ijiarec.com/ijiarec/article/view/669