Among the many decisions youll have to make when building a predictive model is whether your business problem is either a classification or an approximation… Read More »Approximation or Classification – which one to choose?
“If (there) was one thing all people took for granted, (it) was conviction that if you feed honest figures into a computer, honest figures (will)… Read More »Understanding Machine Learning: How machines learn?
A popular phrase tossed around when we talk about statistical data is “there is correlation between variables”. However, many people wrongly consider this to be… Read More »Correlation does not imply causation
One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy.… Read More »Understanding machine learning #3: Confusion matrix – not all errors are equal
In the previous post of our Understanding machine learning series, we presented how machines learn through multiple experiences. We also explained how, in some cases, human… Read More »Understanding machine learning: Do we need machine learning at all?
