A / B testing is a type of testing that is widely used to test two options. When the A / B test becomes an A / B / C / D test then we are talking about split testing. The basis of A / B testing is to test two products or services, or ad creatives in as similar...

Hello everyone! A recent article we released dealt with analyzing the results of digital advertising and comparing them using the Google Analytics API data. The article gives a good general idea of what can be done with automation (a lot of it).  In the spirit of the...

Hello, I’m back! Yay. Matija wrote the last two articles because I have to juggle between work and identity crisis.So I will contribute something because Matija still finds it interesting to watch and refresh Google Analytics. Wow, a CLICK! I guess he’s not the only...

Hello everyone, this will be the last part of our series on the Coronavirus (COVID-19). If there is interest in the application of artificial intelligence related to the Corona virus, it is possible that we will return to the topic, but for now we are leaving it...

Hello everyone, today we will deal with the analysis, consolidation, and visualization of complex data sets that are poorly prepared and formatted. Like with that sentence, from a lot of data, we will get to usable data. "Today, we will get useful graphs from messy...

Hello everyone. In the last article, Matija wrote a tutorial on how to use Jupyter Notebook. In the example, you can learn to visualize the COVID-19 (Coronavirus) related data. The COVID-19 recognition article has been popular. It's mentioned in the Jutarnji list, I...

Hello everyone. Before this, Matija had published a good tutorial about using the Jupyter Notebook. In my last article, I wrote and explained a simple regression using coronavirus (COVID-19) data. This is a follow-up to that post, in which the focus will be on the...

Hello everyone. In a recent blog post, Kristijan addressed the visualization and projection of Covid-19 data. As promised, the entire project is available here. You stuck with me today, where we will go through step by step how to get results like this, but with a...

Hello everyone. In my penultimate article, I wrote and explained something about visualizing coronavirus data. This is a continuation of that post. But first, a small digression.In the meantime, I have published an article describing the potential for the use of...

We used machine learning to develop a model that could assist doctors in diagnosing Coronavirus (COVID-19) with the help of an x-ray. If you are a doctor or nurse, you can contact us and get access to the model for free (team@exact-byte.com). The article will explain...

Every day (and hour) we are served a new report on the current state of the coronavirus (COVID-19). While it is useful to keep track of how things are progressing and whether it is time to finally close ourselves in the bunker (doompreppers certainly want to tell...

Today we are going to look into inventory prediction, while the future posts will probably touch upon the subject of price elasticity, which in conjunction with knowing how many items you are going to sell is going to be a helpful model for anybody who is selling...

(5 minutes read) There are very few things in the world that we cannot quantify. Everything else can be predicted by data mining and artificial intelligence. In sports, we track a lot of quantitative elements, making it ideal for the use of artificial intelligence....

Introduction Using integration testing should reveal any bugs in the system, especially those that rely on the system being connected correctly. Using it this way is a lazy but smart way of testing the whole system, and using it like this you can test the...

Original article found here. Intro This post (series) will be about testing. About testing Git and seeing if its behavior holds and if we can find any bugs. This was conceived as a series of blog posts, in which I will, over time, demonstrate a complete (core)...