Word Embeddings for Tabular Data Feature Engineering 1 min read Artificial Intelligence Word Embeddings for Tabular Data Feature Engineering Max Headroom 2025.07.14 64 It would be difficult to argue that word embeddings — dense vector representations of words — have...Read More
Skip Connections in Transformer Models 1 min read Artificial Intelligence Skip Connections in Transformer Models Max Headroom 2025.07.04 72 This post is divided into three parts; they are: • Why Skip Connections are Needed in Transformers...Read More
Securing FastAPI Endpoints for MLOps: An Authentication Guide 1 min read Artificial Intelligence Securing FastAPI Endpoints for MLOps: An Authentication Guide Max Headroom 2025.07.04 78 In today’s AI world, data scientists are not just focused on training and optimizing machine learning models....Read More
A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention 1 min read Artificial Intelligence A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention Max Headroom 2025.06.20 89 This post is divided into three parts; they are: • Why Attention is Needed • The Attention...Read More
Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models 1 min read Artificial Intelligence Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models Max Headroom 2025.06.20 85 Ever felt like trying to find a needle in a haystack? That’s part of the process of...Read More
Unlocking Performance: Accelerating Pandas Operations with Polars 1 min read Artificial Intelligence Unlocking Performance: Accelerating Pandas Operations with Polars Max Headroom 2025.06.19 90 Read MoreRead More
10 Must-Know Python Libraries for MLOps in 2025 1 min read Artificial Intelligence 10 Must-Know Python Libraries for MLOps in 2025 Max Headroom 2025.06.19 94 MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and...Read More
How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models 1 min read Artificial Intelligence How to Combine Scikit-learn, CatBoost, and SHAP for Explainable Tree Models Max Headroom 2025.06.17 102 Machine learning workflows often involve a delicate balance: you want models that perform exceptionally well, but you...Read More
Interpolation in Positional Encodings and Using YaRN for Larger Context Window 1 min read Artificial Intelligence Interpolation in Positional Encodings and Using YaRN for Larger Context Window Max Headroom 2025.06.17 96 This post is divided into three parts; they are: • Interpolation and Extrapolation in Sinusoidal Encodings and...Read More
Word Embeddings in Language Models 1 min read Artificial Intelligence Word Embeddings in Language Models Max Headroom 2025.06.03 106 This post is divided into three parts; they are: • Understanding Word Embeddings • Using Pretrained Word...Read More