AI/ML Techniques

Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data

Imbalanced datasets are a common challenge in machine learning.

2 months ago

MinMax vs Standard vs Robust Scaler: Which One Wins for Skewed Data?

You've loaded your dataset and the distribution plots look rough.

2 months ago

The Model Selection Showdown: 6 Considerations for Choosing the Best Model

Selecting the right model is one of the most critical decisions in any machine learning project.

2 months ago

7 Python Decorator Tricks to Write Cleaner Code

Usually shrouded in mystery at first glance, Python decorators are, at their core, functions wrapped around other functions to provide…

2 months ago

Why and When to Use Sentence Embeddings Over Word Embeddings

Choosing the right text representation is a critical first step in any natural language processing (NLP) project.

2 months ago

Bagging vs Boosting vs Stacking: Which Ensemble Method Wins in 2025?

Introduction In machine learning, no single model is perfect.

2 months ago

10 Machine Learning Newsletters to Stay Informed

Let's face it: keeping up with new research, tools, and industry shifts in machine learning can be down-right overwhelming.

2 months ago

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

This article offers a hands-on Python introduction to

2 months ago