Passport checks at airports, automatic turnstiles in office centers, signature verification — all these tasks require face or object recognition. Historically, deep learning algorithms use a lot of labeled training data for simple tasks like identifying objects in photos or recognizing faces. But in the above situations, we normally do…

Deep learning has been a game changer in the field of computer vision. It’s widely used to teach computers to “see” and analyze the environment similarly to the way humans do. Its applications include self-driven cars, robotics, data analysis, and much more. In this blog post, we will explain in…

What if you could predict a market crash or a stock price fall? How about detecting an earthquake before it happens? What potential does AI have for diagnosing serious health conditions like cancer? Pattern recognition — finding hidden patterns in data — is one way to effectively solve problems and…

In discussions about Haskell, sometimes a question is raised — what exactly can you build with the language? To answer this question, this article will look at some of the more interesting Haskell open-source projects on GitHub. Among them, you will find cool user-facing applications, such as SimpleX and hledger…

Predicting customer behavior, consumer demand or stock price fluctuations, identifying fraud, and diagnosing patients — these are some of the popular applications of the random forest (RF) algorithm. Used for classification and regression tasks, it can significantly enhance the efficiency of business processes and scientific research. This blog post will…

Data mining techniques have applications in all areas from business to science and governance. Companies use data mining to analyze recorded data, such as user preferences, sales figures, and historical inventory levels. If they are able to identify trends and recurrent patterns in this data, they can make better decisions…

Learn why large companies are using Haskell — Among programming languages, Haskell isn’t the most common choice (like JavaScript) or the one that makes a lot of engineers excited (like Rust). At the same time, it has attracted a solid following in certain sub-fields of software development. Large companies like GitHub, Microsoft, Tesla, and Meta reach for the…

Learning Haskell doesn’t have to be hard. — Among major programming languages, there are probably none that feel scarier for beginners than Haskell. And some years ago, it was so for a reason. I first attempted to learn Haskell in 2017 and failed miserably. There were several causes: me not being very experienced with programming, a lack of…

Can machine learning models explain their decisions? — When we’re talking about artificial intelligence problems, trust is often the first thing that comes to mind. AI today is used in many fields, including those that have direct impact on human lives, such as healthcare and justice. …