How to use R to estimate the optimal time during the day for aliens to invade Earth and a few more interesting things.

Collaborative filtering (CF) is one of the most popular techniques for building recommender systems. It is a method of making automatic predictions about the interests of a user by collecting preferences or taste information from many users (collaborating).

Recommender systems have become ubiquitous and very important in recent years. They are present in a variety of areas, such as for recommending movies, music, news, books. One of the most popular algorithms used to produce a list of recommendations is collaborative filtering.

The fact that demand for data science is so big and the number of skilled data scientists is very limited is skyrocketing rates and attracting more and more people from various backgrounds to work in this exciting field.

We wanted to share why we want to do what we do and why we think this is the future of IT. The number of internet users is constantly growing and what strikes us even more is the fact that 90% of all data in the world today has been created in the last 2 years only.