Author name: Jones Granatyr

Linear Algebra is one of the most important foundations of Data Science and Machine Learning. Discover why understanding vectors, matrices, and mathematical concepts can help you better understand AI algorithms and build stronger machine learning models

The rapid progress of deep learning and generative AI has raised a common question: is traditional machine learning still relevant? In this article, we explore why classic algorithms such as Random Forest, SVM, and logistic regression remain essential in many real-world problems, especially when working with structured data and business applications.

Artificial intelligence is transforming the job market in 2026, reshaping roles, boosting productivity, and forcing workers, companies, and governments to adapt to a rapidly evolving world of work

October 2025 marked a turning point in the history of artificial intelligence: billion-dollar deals, more powerful multimodal tools, and regulatory advances that are shaping the future of AI on a global scale.

Unlock the profit potential of Large Language Models. This guide reveals how to monetize LLMs across marketing, customer service, HR, and more by building in-demand AI solutions.

Thinking about a career in AI? Avoid these 3 pitfalls that could derail your progress—you could be falling into one today!

In this video we show how to implement DeepSeek via Python code

Researchers develop technique to enhance AI code precision, achieving efficiency gains with compact models

Last week, Google DeepMind announced the release of Gemini 2.5, described as its smartest AI model to date. The first release in this series is Gemini 2.5 Pro Experimental, a model that has already topped the LMArena rankings by a significant margin. This benchmark measures human preferences, indicating that the model not only performs well