Teaching Machine Learning and Deep Learning Introduction: An Innovative Tutorial-Based Practical Approach

Abstract

Machine learning and deep learning techniques have penetrated deep into the various domains of engineering, science, and technology. They are very powerful tools to solve a wide variety of complex problems in those domains. This paper presents an innovative tutorial with practical examples of teaching the introduction to machine learning and deep learning. Starting with the basic concepts, the tutorial takes the readers through the basics of linear regression, logistic regression, and deep neural networks. Then the fundamental association between linear regression, logistic regression, and deep neural network is revealed using the practical examples. This tutorial article provides a solid base for readers aspiring to learn machine learning and deep learning with a systematic and practical approach.