Regularization

Dropout

ड्रपआउट

A regularization method that randomly disables neurons during training to reduce overfitting.

Bias Mitigation

पूर्वाग्रह न्यूनीकरण

Techniques to detect and reduce unfair bias in data and models.

Early Stopping

अर्ली स्टपिङ

Halting training once validation performance stops improving to avoid overfitting.

Feature Selection

फिचर छनोट

Choosing the most relevant input features and discarding the rest to improve a model.

Generalization

सामान्यीकरण

A model's ability to perform well on new, unseen data rather than just memorized examples.

Gradient Clipping

ग्र्याडियन्ट क्लिपिङ

Capping gradient size during training to prevent unstable, exploding updates.

Overfitting

ओभरफिटिङ / अति-अनुकूलन

When a model learns the training data too closely, including noise, and fails on new data.

Process Mining

प्रक्रिया खनन

Analyzing event logs to discover, monitor, and improve real business processes.