Answer Posted / Ramesh Babu

Data augmentation in Machine Learning refers to a strategy that enables the creation of additional training samples by applying transformations (such as rotations, translations, or flips) to existing data, with the aim of increasing the size and diversity of the dataset and improving model generalization.

Do you have research experience in machine learning?

150

What are standardization and normalisation? Give one advantage of each over the other?

145

Tell me what are the last machine learning papers you've read?

290

Tell us do you have research experience in machine learning?

222