Answer Posted / Pradeep Kumar Mishra

Overfitting in machine learning refers to a situation where a model learns the training data too well, including its noise and outliers, to the extent that it negatively impacts the model's ability to generalize and make accurate predictions on unseen data.

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

73

Do you have research experience in machine learning?

73

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

208

Tell us do you have research experience in machine learning?

149