Artificial Intelligence
A Guide to Kalman Filter
In this article, we’ll make a few notes on how Kalman filter works, and will show how to overcome most common problems that might appear while using it.
Upstream posts
How to Evaluate an ML Model Performance?
Every data scientist knows that one of the most exciting parts of machine learning is picking the right algorithm to crack a problem. But how do you make sure that your chosen algorithm actually delivers the results you're aiming for? In this article, we discuss several methods allowing you to measure the performance of your ML model.
Top 11 AI Tools for Developers
The rapid advancement of AI has transformed the way developers approach software creation, problem-solving, and collaboration. AI tools are no longer just experimental—they’ve become essential components of modern development environments. This article will be especially useful for developers who want to automate repetitive tasks, enhance code accuracy, and improve project management. We offer an overview of some of the best AI tools currently available, including pricing and key features, so you can choose the right tools to fit your needs and projects.
What Is AutoML?
Today it is hard to imagine a business that doesn’t use machine learning in analytics and decision-making. However, the development and deployment of ML models can be very complicated and resource-consuming. Even experienced data scientists and ML engineers could benefit from effective automation. AutoML is a way to automate machine learning in your enterprise. In this article, we will talk about the benefits of AutoML, its operating principles, and ways to use it in your business.
How Top Companies Use AI
In the last few years, artificial intelligence has become an omnipresent technology. Many businesses, including world leading companies, apply AI for various purposes: business intelligence, performance analytics, enhancing user experience, optimization, and more. In this article, we will look at 9 companies that use artificial intelligence. Hopefully, they can inspire you and give some suggestions about how you can use AI creatively in your business.
A Comprehensive Guide to BERT
In this article, we’ll explore how Bidirectional Encoder Representations from Transformers (BERT) works, and why it’s called a universal tool for solving dozens of natural language processing tasks.
LLMs for Business: Fine-Tuning and Risks
This is the second article in our series “LLMs for Business.” In it, we explore how to fine-tune large language models and use them safely so they don’t harm your business.
Editor’s pick
LLMs for Business: How to Run Them
We've seen many articles on large language models (LLMs) aimed at the general public and decision-makers. Many of them are either overly simplistic or, conversely, cover too complicated technical aspects. In our blog post, we take a balanced approach to explaining the essence of LLMs and their fundamental processes. In the first article of a series dedicated to large language models, we discuss their foundational principles and various approaches to running them.
Upstream posts
What is Edge AI?
Edge AI has become a buzzword in recent years. As the demand for real-time data processing is growing, being able to handle it directly on the user’s device such as a smartphone or IoT is becoming more important. In this article, you will learn more about how edge AI works and where it is used.
Effective Altruism vs. Effective Accelerationism in AI
While some people welcome the widespread adoption of AI and its fast progress, expecting it to resolve global issues, some people are way more skeptical about it. They believe that general artificial intelligence can menace the future of humankind. Therefore, this technology should be developed responsibly. In this article, we will discuss the difference between these ideologies ― effective accelerators and effective altruists.
AI and Blockchain Convergence
Artificial intelligence and blockchain are two of the most transformative technologies of our time. When integrated, they open up a whole range of new possibilities underpinned by AI's productivity enhancements and blockchain's security and transparency. In this post, we explore the integration of AI in blockchain and the benefits of merging the two.
25 Free Datasets for ML Pros Across Industries
Machine learning professionals are always on the lookout for diverse datasets to develop innovative and powerful models. In this blog post, we have compiled 25 free datasets, categorized by industry, to help you get started.
Clustering Algorithms From A to Z
Clustering in machine learning refers to the task of grouping similar data points together based on certain characteristics. It allows us to facilitate insights and decision-making when large amounts of data are involved. In this article, we explore the fundamental concepts of clustering algorithms, their various types, pros and cons, and the scenarios in which each works best.
Artificial Intelligence in Healthcare and Medicine
The market for AI in healthcare is expanding and is projected to grow in the coming years. This technology has already demonstrated significant capabilities in diagnostics and biomedical research. AI’s application in healthcare spans various areas, including early disease detection, personalized medicine, robotic surgeries, and patient management systems. Understanding its current state and potential future developments is crucial for healthcare professionals and policymakers.