Classification Strategies
Ksenia explores the nuances of binary classification, discussing how overlapping classes can complicate model training. By analyzing the impact of adding data points on classification error, she outlines a method for selecting the most informative samples for annotation. The conversation delves into more complex scenarios, such as XOR-like problems, illustrating the evolving challenges in machine learning.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Learning Active Learning from Data with Ksenia Konyushkova - #116
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