铰链损失 (Hinge Loss)是支持向量机 (Support Vector Machine, SVM)中最为核心的损失函数之一。该损失函数不仅在SVM中发挥着关键作用，也被广泛应用于其他机器学习模型的训练过程中。从数学角度来看，铰链损失函数提供了一种优雅的方式来量化分类器的预测性能。

Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for ...

This breakthrough was only the beginning of a big wave of changes. At the end of last year, a new trend related to AI started ...

Bodo.ai, an open source start-up dedicated to transformative Python, has released its high performance computing (HPC) engine for Python under the Apache License.

数据泄露是指在预测时理论上无法获取的信息，通过某种方式影响了模型的训练过程。在时间序列分析中，由于数据的时序特性，这种问题尤为隐蔽。数据泄露会导致模型在训练阶段表现出远超其在实际生产环境中的准确性。

The new SonarQube Server LTA release is as value-packed as ever. Look forward to high-impact AI capabilities, more secure code at every angle, supercharged developer productivity, and even better ...