The field of computer science known as “artificial intelligence” (AI) has been developing for decades. In recent years, we have witnessed several breakthrough moments, such as the creation of the AlphaZero model in 2017, which achieved grandmaster level in chess and Go, and the development of the Transformer architecture in the same year, which underpins […]
Everything You Need to Know About Recommender Systems
Do you ever wonder how algorithms work that select the ads you see? Or why do you get certain posts on social media? These tasks are handled by recommender systems. At COGITA, the company I managed, building such systems is our specialty. Our team created them for many large companies. Today, I would like to […]
6 reasons why interpretability of the model is important
Machine Learning has become a fundamental part of many companies’ data science efforts. But as models have gotten more complex, it can be difficult to know what is causing them to make certain predictions. That is why we observe fast increase of interpretability tools such as SHAP or DALEX. In this article, I will discuss some reasons why […]
10 Non-Obvious Things You Need to Log After Deploying Your Model in Production
Deploying machine learning models in a production environment is a significant challenge, often requiring as much effort as training the model itself. In this post, I will discuss one of several key aspects that need to be taken care of, which is logging all necessary information after deploying the model. When we are in the […]
Data Collection – Best Practices
Introduction Today, we will focus on the topic of data collection. This is an important aspect of the work of a data analyst or machine learning engineer. The models we can train and, most importantly, the correctness and usefulness of the entire solution depend on the type and amount of data we collect. Therefore, it […]
Planning Machine Learning Projects
Today, I would like to introduce you to the process of planning Machine Learning projects, as practiced in my company, COGITA. If you are involved in ML projects—whether as an analyst or a Data Scientist—you are likely either participating in this process or closely utilizing its outcomes. So, stick around till the end of this […]
Privacy policy
Operating under the name COGITA Sp. z o.o., located at 4 Łąkowa Street, 42-282 Widzów, VAT ID: 9492257381, we take care to treat your personal data appropriately. Our goal is to provide adequate information regarding the processing of personal data, especially in light of the provisions of data protection laws, including Regulation (EU) 2016/679 of […]
Real-time monitoring of electrical infrastructure using drones and AI algorithms.
This case study presents a hypothetical project for real-time monitoring of electrical infrastructure using drones and artificial intelligence algorithms. The project aims to develop an advanced system that enables the detection of faults, disturbances, and other issues in the electrical infrastructure, thereby improving its safety and efficiency. Project Objectives: Real-time monitoring of electrical infrastructure.. Identification […]
Implementing AI in a Company – Step-by-Step Guide
We are currently witnessing a technological revolution that is reshaping many industries, bringing with it previously unimaginable possibilities. At the forefront of these changes is artificial intelligence. However, harnessing its potential in a company is not a simple task. From this post, you will learn step by step how to implement AI-based solutions in your […]