At the heart of any machine learning initiative is data—it’s required to train models and serves as the base on which models are applied.
It follows, then, that to effectively train and implement machine learning models, you must have good data. Unfortunately, curating high-quality data often isn’t an easy task.
This article explains how open source dataset initiatives contribute to the development of machine learning models. You’ll also learn about popular open source dataset initiatives for machine learning, and discover what challenges to expect when using publicly-available data.
Continue reading “Open Source Datasets for Machine Learning: Challenges and Solutions”