Introduction [Read more...]

If you’re like me you probably have used derivatives for a huge part of your life and learned a few rules on how they work and behave without actually understanding where it all comes from. As kids we learn some of these rules early on like the power rule ... [Read more...]

Motivation When we do modeling it’s of utmost importance that we pay attention to context. Without context there is little that can be inferred. [Read more...]

When we do modeling it’s of utmost importance that we pay attention to context. Without context there is little that can be inferred. Let’s create a correlated dummy dataset that will allow me to highlight my point. In this case we’ll just sample our data from a ... [Read more...]

Motivation Today we will run through an important concept in statistical learning theory and modeling in general. It may come as no surprise that my point is as usual “age quod agis”. This is a lifelong strive for me to convey that message to fellow scientists and business people alike. ... [Read more...]

Motivation for this post [Read more...]

Motivation for this post In time series modeling you typically run into issues concerning complexity versus utility. What I mean by that is that there may be questions you need the answer to but are afraid of the model complexity that comes along with it. This fear of complexity is ... [Read more...]

Introduction Today we’re going to have a look at an interesting set of learning algorithms which does not require you to know the truth while you learn. As such this is a mix of unsupervised and supervised learning. The supervised part comes from the fact that you look in ... [Read more...]

Motivation [Read more...]

Motivation [Read more...]