Breaking the curse of small datasets in Machine Learning: Part 1

This is Part 1 of Breaking the curse of small datasets in Machine Learning. In this part, I will discuss how the size of the data set impacts traditional Machine Learning algorithms and few ways to mitigate these issues. In Part 2, I will discuss how deep learning model performance depends on data size and how to work with smaller data sets to get similar performances. We all are aware of how machine learning has revolutionized our world in recent years and has made a variety of complex tasks much easier to perform. The recent breakthroughs in implementing Deep learning techniques has shown that superior algorithms and complex architectures can impart human-like abilities to machines for specific tasks.