Accuracy and precision

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Covers linear models for multi-class classification, focusing on logistic regression and evaluation metrics.

Explores the evaluation of machine and human accuracy and robustness on ImageNet, highlighting progress, challenges, and the need for improvement.

Delves into the application of machine learning in enhancing human rights documentation and advocacy for organizations like HURIDOCS.

Covers the importance of sensors in micro and nanostructured devices and explores MEMS sensors, their applications, and sensing techniques.

Explains statistical methods in quantitative analysis, emphasizing precision, accuracy, and sample representation.

Introduces decision trees and k-nearest neighbors for classification tasks, exploring metrics like accuracy and AUC.

Explores the importance of precision in movement and the impact of speed and damping on structural stress.

Covers the organization of the geometric stereotomy course, focusing on muqarnas, stone block modeling, and pavilion design.

Covers linear models, binary classification, logistic regression, and model evaluation metrics.