Answer Posted / Alok Kumar Pankaj

In statistics, a type I error occurs when we incorrectly reject a true null hypothesis (also known as a false positive), while a type II error occurs when we fail to reject a false null hypothesis (also known as a false negative).

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150

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

209

Do you have research experience in machine learning?

73

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

74