Ethical_Considerations_in_Data_Annotation_for_ML_Applications-01

24

Feb

Ethical Considerations in Data Annotation for ML Applications

As machine learning, aka ML applications, become advanced and spread worldwide, from facial recognition software to self-driving cars, ethical considerations in their development become more important. But, unlike common knowledge, the journey to ethics begins long before algorithms crunch data – it starts with the very foundation: data annotation. Data annotation, the process of labeling and classifying […]

Transfer_Learning_for_Data_Annotation_Efficiency-01

06

Feb

Transfer Learning for Data Annotation Efficiency

Transfer learning is a machine learning data annotation technique where an AI model trained on one task is adapted for a somewhat related task. In simple words, instead of starting from scratch, using a pre-trained model as a starting point and fine-tuning it as per the specific task is transfer learning.  This concept has been utilized by[…]