Evaluate the impact of an AI application used in the real world. (case study) : Working with X-Ray images: Case Study -

The video tutorial discusses building a model using Resnet, focusing on reusing previous work and making minor adjustments for image processing. It covers data preprocessing, including image scaling and augmentation, and explains the importance of conducting an ablation run to ensure the model functions correctly. The tutorial highlights issues of overfitting and accuracy, particularly in imbalanced datasets, and suggests using AUC for more reliable model evaluation. The video emphasizes the importance of understanding and adapting code for different projects.

What new insight or understanding did you gain from this video?

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