Machine Learning: An Introduction

Sayan Putatunda ()
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Sayan Putatunda: Indian Institute of Management Ahmedabad

A chapter in Advances in Analytics and Applications, 2019, pp 3-11 from Springer

Abstract: Abstract Over the years, with the increase in storage capacity and the ease of vast amount of data collection, smart data analysis has become the order of the day. That is why “machine learning” has become one of the mainstays of the technology field over the past decade or so. This chapter aims to give an overview of the concepts of various supervised and unsupervised machine learning techniques such as support vector machines, k-nearest neighbor, artificial neural networks, random forests, cluster analysis, etc. Also, this chapter will give a brief introduction to deep learning, which is the latest fad in the analytics/data science industry.

Keywords: Smart Data Analysis; Unsupervised Machine Learning Techniques; Random Forest; Support Vector Classifier; Gareth (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/978-981-13-1208-3_1

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