Machine Learning

How nature inspires us to solve problems? An introduction to metaheuristics

In this blog post, I’d like you to present computational problem-solving techniques, called metaheuristics. We use some of them at LogicAI, but I’d like to focus on a general overview.  My aim is to keep things as concise and non-technical as possible and focus on concepts and business applications. If you are interested in use-cases …

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LogicAI wins 1st place in ACM RecSys 2019 Trivago competition

We are thrilled to announce that LogicAI took the 1st place in the ACM RecSys 2019 competition. RecSys is a prestigious, yearly data science competition aimed at building recommendation systems, based on data provided by different companies every year. Our Team from LogicAI participated in RecSys for the first time and reached the top of …

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Resolving e-commerce challenges with probabilistic programming

This summer, during the third edition of Data Science Summit in Warsaw, Magdalena Wójcik (Senior Data Scientist at LogicAI) presented how we used Bayesian models in one of our projects. Why did we choose this topic? Often enough Bayesian models aren’t used in the real world cases due to the fact, that usually they are …

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Churn modeling for business. Part I – A brief introduction

From this article, you’ll learn what is Churn and how can data science help in spotting ‘churned’ clients before they become unsatisfied.  This will allow you to do the right thing – keep your current clients and make them more satisfied. I’ll also show common ways to approach such problems, combining business perspective with data …

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