Shioulin Sam

In this conversation, Shioulin Sam, a Research Engineer at Cloudera Fast Forward Labs, sheds light on the challenges of machine learning with limited labeled data. She discusses active learning as a powerful approach to enhance model accuracy while reducing costly manual labeling. The discussion delves into measuring uncertainty in deep neural networks and effective strategies for implementing active learning across enterprises. Shioulin also highlights the significance of integrating labeled data into models to drive optimal performance in real-world applications.