Answer Posted / Umesh Kumar Rathore

Type I error, also known as a false positive, occurs when we incorrectly reject the null hypothesis (we assume that there is a relationship where none exists). Type II error, or false negative, happens when we fail to reject the null hypothesis (we don't find a relationship even though one exists).

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

209

Tell us do you have research experience in machine learning?

150

Do you have research experience in machine learning?

74

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

74