Stable Diffusion: Generating Images Out of Thin Air

Stable Diffusion is a free, open-source neural network for generating photorealistic and artistic images based on text-to-image and image-to-image diffusion models. Read our tips to start generating your own masterpieces in minutes.

Support Vector Machine Algorithm

The support vector machine (SVM) algorithm is a machine learning algorithm widely used because of its high performance, flexibility, and efficiency. Learn more about it in our article.

Data Warehouses vs. Data Lakes vs. Data Lakehouses

The most popular solutions for storing data today are data warehouses, data lakes, and data lakehouses. This post gives a detailed overview of these storage options and their pros and cons for specific purposes.

K-Nearest Neighbors Algorithm for ML

The k-nearest neighbors (kNN) algorithm is a simple tool that can be used for a large number of real-world problems. In this article, we cover what kNN is, how it works, and how to implement it in machine learning projects.

A Guide to One-Shot Learning

Find out how the one-shot learning algorithm works and the practical applications of this novel paradigm in neural networks.

NN Research Best Practices: Interview with Dr. Varun Ojha

What are the best strategies for training neural networks? How to avoid overfitting? Which open-source datasets to choose? Find the answers to these questions in our interview with Dr. Varun Ojha.

Deep Learning Applications for Computer Vision

Deep learning has been a game changer in the field of computer vision. It’s widely used to teach computers to “see” and analyze the environment similarly to the way humans do.

What Are the Real-World Applications of Pattern Recognition?

Pattern recognition – finding hidden patterns in data – is one way to effectively solve problems and automate tasks across a variety of industries.

Random Forest Classifier: Basic Principles and Applications

Predicting customer behavior, consumer demand or stock price fluctuations, identifying fraud, and diagnosing patients – these are some of the popular applications of the random forest (RF) algorithm.

A Beginner’s Guide to Data Mining Techniques

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.

What Is Explainable AI and What Is It Used For?

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.

How Sber Built ruDALL-E: Interview with Sergei Markov

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.

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