Artificial Intelligence

In this quick guide, you will learn about the main data mining methods, predictive and exploratory data mining techniques and their practical applications in data-driven decision-making.

Explainable AI (XAI) is a set of processes, methods, and tools that help us understand the logic of ML models when making forecasts and predictions. Learn more about it by reading our introductory article.

What does it take to build a model with 12 billion parameters? Why is open-source culture important in machine learning research? Find out the answers to these questions in our interview with Sergei Markov, the chief of the SberDevices experimental machine learning systems department.

In this article, you will read about different types of outliers and machine learning techniques that help to find anomalies. Learn how you can apply ML anomaly detection techniques to fraud prevention, medical diagnosis, and more.

Self-supervised learning is one of the most popular approaches to ML today. SSL algorithms don’t require manual target labeling and can obtain all the information they need from the data. Find out more about how they work in our new post.

Can machines do design? What is the role of a designer in 2021? Learn the answers to these questions by reading our interview with Sergey Kulinkovich, an art director from Art. Lebedev Studio.

What is polynomial regression? When should you use it? In this article, we’ll give you all the answers.

No-code is a software development technique that can help you create a website or a machine learning model without ever writing a line of code. Learn more about it by reading our article.

This beginner guide will help you understand how convolution neural networks (CNNs) work and what they are useful for.

Everyone’s talking about the ethics of AI but what does it really mean? Read this post to find out.

Discover how ML can be applied to genomic data to detect diseases like cancer and Alzheimer's disease.

Learn about awesome artificial intelligence and machine learning jobs that you can pursue in 2022.