Abstract: The introduction of Automated Machine Learning (AutoML) can be considered a game-changing development in the field of data science and more specifically, in the area of big data analytics.

Data science is one of the most in-demand skills in 2026, and a clear learning path can take you from beginner to expert. With structured roadmaps, hands-on projects, and industry-recognized ...

Best programming languages for beginners in 2026. Learn coding with Python, JavaScript, SQL, and more based on job demand, ...

Why Python is every data scientist’s best friend Python has become the go-to language for data science thanks to its simplicity, versatility, and massive library ecosystem. From cleaning messy ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

The rapid acceleration of AI adoption across industries is reshaping not only products, but also the engineering roles that support them. As organizations move machine learning systems from ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...