Breaking the Curse of Small Datasets in Machine Learning: Part 1

Focus: Data Set
Source: Towards Data Science
Readability: Expert
Type: Blog
Open Source: Yes
Keywords: N/A
Learn Tags: Bias Data Collection/Data Set Data Tools Small Data
Summary: The size of the data may manifest issues relating to generalization, data imbalance, and difficulty in reaching the global optimum. This article covers a few of the most commonly used techniques for tackling issues, such as data set size, for traditional machine learning algorithms.