As humans, we have a visual system that allows us to see (extract and understand) shapes, colours and contours. So why do we see every image as a different image? How do we know, for example, that a box in an image is, in reality, a box? And...
Will robots ever make music?
Autoencoders have existed in Data Science for a long time. This type of model has three sequential parts: the input layer (encoder); the hidden layer; and the output layer (decoder). It seems like a simple concept, but it is very powerful. You use...
  Nowadays, no one needs to be convinced of the power and usefulness of deep neural networks. AI solutions based on neural networks have revolutionised almost every area of ​​technology, business, medicine, science and military applications...
  In the previous article, I described attention mechanisms by using an example of natural language processing. This method was first used in language processing, but this is not its only usage. We can also use attention mechanisms in another...
  For some reason, it is quite natural for people to argue with each other all the time. Wives argue with husbands. Children argue with their parents. Facebook users argue with other Facebook users. United fans argue with City fans. And it...
According to some sources, over 40% of all Internet traffic is made up of bot traffic. And we know that malicious bots are a significant proportion of current bot traffic. This article describes a number of strategies (Machine Learning, user...
   The attention mechanism made big changes in deep learning. Thanks to this, models can achieve better results. This mechanism was also the inspiration for perceivers and also transformer neural networks . And transformers led to the...
Some say artificial intelligence (AI) will be the next big thing after the internet: a tool enabling new industries and improving the lives of ordinary people. Others think AI is the greatest threat to society as we know it. This article will try to...
Review of Yoshua Bengio’s lecture at the Artificial General Intelligence 2021 Conference At the 2021 Artificial General Intelligence Conference, a star keynote speaker was Yoshua Bengio. He has been one of the leading figures of deep learning with...
The main focus in machine learning projects is to optimize metrics  like accuracy, precision, recall, etc. We put effort into hyper-parameter tuning or designing good data pre-processing. What if these efforts don’t seem to work? 
Working with models vs. working with data
If I was to point out one most common mistake of a rookie Data Scientist, it’s their focus on the model, not on the data.

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