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Evaluating models without test data
Practical AI
Evaluating Machine Learning Models
This chapter highlights the critical need for tools that identify key flaws in machine learning models, using the metaphor of a tilting skyscraper to illustrate potential dangers. It delves into the use of the 'Weight Watcher' tool for analyzing model performance in PyTorch, discussing its operational efficiency and integration into user workflows.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode