Data Scarcity
Data scarcity refers to insufficient data for training machine learning models or comprehensive analysis, hindering the development of accurate AI systems. Disc...
8 min read
AI
Data Scarcity
+5
Data Augmentation
Few-Shot Learning
Few-Shot Learning is a machine learning approach that enables models to make accurate predictions using only a small number of labeled examples. Unlike traditio...
6 min read
Few-Shot Learning
Machine Learning
+3
Generative Adversarial Network (GAN)
A Generative Adversarial Network (GAN) is a machine learning framework with two neural networks—a generator and a discriminator—that compete to generate data in...
8 min read
GAN
Generative AI
+5