Machine Learning Resources

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Key Frameworks:

Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like 'Mean Reciprocal Rank (MRR)' and 'Normalized Discounted Cumulative Gain (NDCG)'. 'Multi-item (also known as groupwise) scoring functions'. 'LambdaLoss' implementation for direct ranking metric optimization. Unbiased Learning-to-Rank from biased feedback data.)

Neural Network Interpretability


Python Notebook Examples

Image Quality Assessment


Transfer Learning