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. …

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. To be able to trust machine decisions in these fields, we need…

How you can use machine learning to detect outliers — Anomaly detection is one of the most common use cases of machine learning. Finding and identifying outliers helps to prevent fraud, adversary attacks, and network intrusions that can compromise your company’s future. In this post, we will talk about how anomaly detection works, what machine learning techniques you can use…

Largest tech companies are developing AI that can learn on its own — Self-supervised learning (SSL) is often called ‘the future of artificial intelligence’. Google and Facebook use this machine learning technique to come up with new benchmarks in the areas of natural language processing and computer vision. But what makes self-supervised learning special? Read this post to find out how self-supervised learning…

The article that will answer all your questions — The world today is heavily dependent on data. The amount of data that we produce grows exponentially every year. At least 2.5 quintillion bytes of data.) are produced every day ― in case you didn’t know, that’s a number followed by 18 zeros! …