在机器学习的世界里，有一个函数几乎无处不在： Softmax。它将神经网络最后一层的打分变成一组概率，让模型能用“我有多确定”来回答问题。乍看，这只是一个便利的数学小工具；然而当我们把目光移向 19 世纪的统计力学，再回到 20 世纪的信息论，再 ...

Basic logistic regression classification is arguably the most fundamental machine learning (ML) technique. Basic logistic regression can be used for binary classification, for example predicting if a ...

Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...