Representing and Collecting Data
About
In this session we will discuss the importance of identifying appropriate data attributes and collecting a variety of examples when training a Machine Learning model. You will also learn about how to find and create data sets that you could use for projects with the Machine Learning for Kids tool, or other tools for creating AI (such as scikit-learn with Python).
Key Terms
attribute, classification, clustering, observation, supervised learning, unsupervised learning