AI/ML Research

A Hands-On Introduction to cuML for GPU-Accelerated Machine Learning Workflows

This article offers a hands-on Python introduction to

1 month ago

A Hands-On Introduction to cuDF for GPU-Accelerated Data Workflows

This article introduces, through a hands-on Python example, cuDF : one of the latest Python libraries designed by

1 month ago

Feature Scaling in Practice: What Works and What Doesn’t

In machine learning, the difference between a high-performing model and one that struggles often comes down to small details.

2 months ago

7 NumPy Tricks for Faster Numerical Computations

Numerical computations in Python become much faster and more efficient with

2 months ago

5 Lesser-Known Visualization Libraries for Impactful Machine Learning Storytelling

Data storytelling often extends into machine learning, where we need engaging visuals that support a clear narrative.

2 months ago

The Roadmap for Mastering AI-Assisted Coding in 2025

AI-assisted coding was something virtually nobody could even imagine a few years back, but to some extent, it has now…

2 months ago

10 Common Misconceptions About Large Language Models

Large language models (LLMs) have rapidly integrated into our daily workflows.

2 months ago

Multi-Agent Systems: The Next Frontier in AI-Driven Cyber Defense

The increasing sophistication of cyber threats calls for a systemic change in the way we defend ourselves against them.

2 months ago

7 Scikit-learn Tricks for Optimized Cross-Validation

Validating machine learning models requires careful testing on unseen data to ensure robust, unbiased estimates of their performance.

2 months ago

ROC AUC vs Precision-Recall for Imbalanced Data

When building machine learning models to classify imbalanced data — i.

2 months ago