I love visiting the CBD of Melbourne - it is a beautiful place with great restaurants, cafes, shopping and museums. Unfortunately, as with any big city it can get really crowded at times, which can sap a bit of enjoyment for a nerd like me! Imagine …
One of the biggest issues when building an effective machine learning algorithm is overfitting. Overfitting is where you build a model on your training data and it not only picks up the true relationship between the outcome and the predictors, but …
In the last blog post I described how you could test whether the difference between two groups was statistically significant using an independent-samples t-test. (I will rely heavily on that blog post in this one, so I encourage you to at least skim …
In some of my previous posts, I asked you to imagine that we work for a retail website that sells children's toys. In the past, they've asked us to estimate the mean number of page views per day (see here and here for my posts discussing this …
When I was doing statistical consulting work in a university's medical department, my clients often wanted me to teach them about the analyses I was doing for them, rather than just completing the work and handing it over. In addition, they were …
