30LIMITED LABELED DATA
Suppose we plot a learning curve (as shown in Figure 5-1 on page 24, for example) and find the machine learning model overfits and could benefit from more training data. What are some different approaches for dealing with limited labeled data in supervised machine learning settings?
In lieu of collecting more data, there are several methods related to regular supervised learning that we can use to improve model performance in limited labeled data regimes.
Improving Model Performance with Limited Labeled Data
The following sections explore various machine learning paradigms that help in scenarios where training data is limited. ...
Get Machine Learning Q and AI now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.