learning deep learning

posted in: deep learning | 0

I found that Practical Deep Learning For Coders by Jeremy Howard is a brilliant source to learn deep learning with a practical and a very result oriented approach. This is one of a multi-part blog post. I am planning to … Continued

Type I and Type II errors

posted in: concepts | 1

In statistical testing, there can be incorrect outcomes. These outcomes are classified into type I and type II errors.  Here, type I error is a false positive and type II error is a false negative. An incorrect rejection of a … Continued