This is the first article of a series called Quick tips. Articles will be either short tutorials (straight to the point) or short common-sense reflections. Today's article is an example of the latter
So, here's the thing: if you are feeling ill, you should stay at home and wait until
This is the second article in a series about productivity in software development. You can find the first article here.
In this article, we will continue discussing some of the most common obstacles in developer productivity.
Good, let's get started.
Some things do wonders for the productivity
Measuring productivity in software development is a complicated task.
Very important activities (like refactoring and testing) don't seem to add much immediate value to the company and therefore don't get much recognition from management. At the same time, estimating tasks is an extremely difficult thing to do well. This usually
In a previous article, we learned about supervised learning: using labeled examples for creating models that solve a variety of tasks such as classification and regression.
There is another type of learning that doesn't require labeled examples: unsupervised learning. As it turns out, unlabeled data is much more common than
Categorical data is extremely common in most real-world machine learning applications. The main problem is that most algorithms don't really know how to manage categorical data: they are really good at working with numbers but don't really understand the concept of category. Because of this, it's important to have a