This is online live workshop. You can watch, follow, Q&A with instructors from anywhere around the world. Miss the live session due to time zone or conflict? you can learn session replay at any time afterwards.
Start date/time: 6/11, 9am PT (US pacific time).
Machine learning is powerful, but it can be hard to reap its benefits without large amounts of labeled training data. Labeling data by hand can be time consuming, expensive, and impractical; and sometimes you don’t even have sufficient examples to label, especially of the rare events that are most important.
This class will provide practical methods to overcome this data bottleneck. You will learn how to use heuristics to label data automatically, and you will learn how to generate synthetic training examples of rare events using generative adversarial networks (GANs). You will also learn other data augmentation approaches and methods for training models when the training data is imbalanced.
The class will also cover how to use machine learning when you only have one or a few examples.
More online AI tech talks, courses, bootcamps: https://learn.xnextcon.com