Context Preview: Path-following interior point, first order methods (gradient descent). Three Learning Principles - Major pitfalls for machine learning practitioners; Occam's razor, sampling bias, and data snooping.
Cse572 Lecture 17 - Useful Details
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Useful Details
Three Learning Principles - Major pitfalls for machine learning practitioners; Occam's razor, sampling bias, and data snooping. Oblivious subspace embeddings, faster iterative regression, sketch-and-solve regression. Path-following interior point, first order methods (gradient descent).
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- Oblivious subspace embeddings, faster iterative regression, sketch-and-solve regression.
- Path-following interior point, first order methods (gradient descent).
- Three Learning Principles - Major pitfalls for machine learning practitioners; Occam's razor, sampling bias, and data snooping.
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