Answer Posted / Sandip Kumar Tiwari

A dataset in machine learning is a collection of data used to train and evaluate models. It consists of two main components: features (or input variables) and labels (or output variables). Datasets can come from various sources, such as real-world observations, experiments, or simulations.

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

74

Tell us do you have research experience in machine learning?

150

Do you have research experience in machine learning?

74

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

209