Two elements of the wild world of numerical computing are waiting for you in this article! Have you ever had a calculation that was so small that you “couldn’t see” the right answer? In computation, we refer to this as underflow. On the other hand, have you ever tried using…

Training your network the right way can make the difference between having a high-performance model, and having a failure of a model. There are several issues that may arise before and after training your network, that impairs its overall performance. However, the most well-known and also most prevalent issues are…

How would you feel having a sun burning in your backyard? At the first glance, pretty scared, right? But what if that tiny sun would give you an almost infinite amount of free electricity? To render your electricity bill null and allow you to mine as much bitcoin as you’d…

Intro Do you remember that old man called Facebook, which turned into Meta not so long ago? It seems that they are back in action, releasing data2vec 2.0 on December 15. Just after the release of ChatGPT. It seems the competition is heating up, but that is extremely fun for us…

Transfer learning is a very well-known domain of machine learning, since it greatly reduces training costs and time, especially for neural networks. However, a subdomain of transfer learning called domain adaptation is not that widely known in the machine learning community, although it is well understood by expert data scientists…

The new year is almost here, and we all know this is the time for new year’s resolutions, which we most likely won’t follow through to the end. This is happening to all of us, you’re not alone. That’s why I recommend that you make a short list containing what…

You’ve all heard the saying “fake it ‘till you make it”. This is especially true if you are an entrepreneur or have interacted with one. That is the beginner entrepreneur’s motto, after all. Having this motto, there is no wonder that among the positions most favored by psychopaths, is the…

If you are a data scientist, you spend long hours reading, learning, coding, and experimenting. But most of all, you spend time thinking. All of this requires a lot of brainpower and thus, calories burnt. If you want to be at peak performance, you need to feed your body right…

If you really want to become an expert in data science, you must do much more than just read about it. You must get your hands dirty and try developing some useful algorithms yourself. …