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	04-e LFD: Error measures. (M MI) View
	04-d LFD: Complex and noisy target functions. (M MI) View
	04-f LFD: Full learning setup - it must be possible to fail. (M MI) View
	11-e LFD: Overfitting is the disease. Noise is the virus. What are the cures (M MI) View
	11-a LFD: Overfitting is what separates the pro from the amateur. What is it (M MI) View
	11-d LFD: Bias variance decomposition and noise. (M MI) View
	Comparing the Effectiveness of RF Shielding Materials - Including Low-E Glass (SHORT VERSION) (EMF Center - with Michael Neuert \u0026 Satya Giordano) View
	First BIG Mistake in Wood Building - Always Measure TWICE! (LakeForkGuy) View
	23-a LFD: Support vector machines (SVM). Fat hyperplanes and robustness to input noise. (M MI) View
	A Visual Introduction to Hoeffding's Inequality - Statistical Learning Theory (Kartik Chincholikar) View