Machine learning amalgamation of Mathematics, Statistics and Electronics

Abstract

Interdisciplinary research is a manner of research carried out by an individual or group of persons. The
knowledge, data, techniques, concepts are incorporated from two or more disciplines. In this paper we
tried to throw light on this concept. Machine learning is a branch of computer science which uses the
information, tools for collection of data, methods for analysis from the subjects like Electronics,
Mathematics and Statistics. Why we use machine learning? Because it plays an influential role in
prediction of data. Machine learning is used to find hidden patterns and essential ideas from data as
well as it solve complex problems. In today’s world, many applications have large volume of data like
structured, unstructured and semi structured. This unexploited resource of knowledge can be used to
improve business decisions. As data diversifies many are adapting to machine learning tool for analysis
of data, so that, they can exploit intelligence and benefit from that data at most. Machine learning
adopts different algorithms and each algorithm performs different functionality. In this paper, we tried
to explain through example, how Electronics is used for collection of data while Mathematics and
Statistics are used for analysis and finally using Machine learning results can be predicted.