Our products are used to:
_reduce the uncertainty of Machine Learning models,
_prioritize enterprise data efforts,
_support experts in the ML loop,
_improve the quality of ML models, especially in multi-class settings with complex ontologies,
_reduce data footprint and compactify ML models so as to be used by the Internet of Things applications,
_improve gaming experience via more challenging and realistic AI in games,
_create intelligent advisory systems from pre-compiled building blocks.
Knowledge Pit (2013) is the only platform for organizing competitions in the field of data science in Poland. Nowadays, it has nearly 2000 registered participants from all over the world, and one of the most popular challenges had over 150 entries.
The project was initiated by Andrzej Janusz and Dominik Ślęzak, who decided to create a tool for their students.
“We wanted students to be able to face real-world problems. They liked the new platform very much, their engagement during classes increased significantly.”
Advantages for business and participants
The platform brings together not only students, and data science specialists from all over the world participate in the competitions. What can they count on?
However, it is a win-win relationship, because the companies with which we cooperate in the organization of competitions can count on:
Each competition is different, but we follow a certain pattern when organizing them. Thanks to this, our partners know exactly what they can expect and what they can count on as a result of the competition.
A typical competition schema:
To date, the project has held competitions in a number of industries and areas:
Our partners: mBank, Information Builders, Security on Demand and others.
Want to know more? Check out www.knowlegdepit.ai. Soon we are going to launch a new competition for data scientists through our platform KnowledgePit.ai. For now, we have decided to give you access to all evaluation files from the Network Device Workload Prediction challenge. If you would like to start/ continue research related to this competition and evaluate your new results go to https://knowledgepit.ml/fedcsis20-challenge/.