How do we study?

If you are following our news, then not long ago we held a Qualification Stage to the Core Team among members of [0|1] ML Club of our future community.

Our Core Team learning process is divided into weekly time slots. And what does it mean? Now we'll find out.

So, every week we choose a topic that we will study for the next week, and the topics are selected according to the Core Team Learning Roadmap of course.

Once a topic has been chosen, a Coordinator is appointed. From the moment of his appointment, the coordinator will be "at the helm" of everything. He drops materials and resources on the chosen topic, which the participants will study throughout the week. Coordinator will support the participants in the internal chat of the Core Team, help with problems, questions and bugs. Also, he starts preparing a presentation and collecting materials for the upcoming meeting.

The day of the meeting is approaching. During the meeting, we discuss interesting aspects of the topic studied, share ideas, if questions arise, they usually do not remain unanswered.

The second part of the meeting. The facilitator starts a short recap of the chosen topic and presents the collected materials, interesting facts and each page of the slide is usually accompanied by discussions and questions from the participants.

After being enlighten by knowledge, after sharing ideas, we appoint the next meeting coordinator and the next iteration starts.

This whole process is built to study such a complex, but at the same time very interesting area as Machine Learning in a fairly interactive, peer-to-peer format.