Artificial Intelligence
Machine Learning in Biotech: Interview with Quantori
In this interview, we speak with Dr. Yuriy Gankin and Maxim Kazanskii from Quantori. This innovative IT company works in AI for life science, biotech, and pharmaceutical companies developing software solutions to accelerate the discovery and development of novel therapies.
9 min read
Upstream posts
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.
10 min read
A Guide to Transfer Learning
In this blog post, we explore the definition, methodology, benefits, and applications of transfer learning. We also discuss various transfer learning strategies and provide a selection of pre-trained models.
13 min read
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.
9 min read
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.
10 min read
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.
11 min read
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.
8 min read
Editor’s pick
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.
10 min read
Upstream posts
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.
13 min read
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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.
10 min read
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.
12 min read
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.
12 min read
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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.
6 min read
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How Sber Built ruDALL-E: Interview with Sergei Markov.png)
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.
8 min read