A Gentle Introduction to Student’s T-Test

Guinness is a tasty dark stout beer. It contributed a fundamental tool in science and statistics beyond its taste. In … More

Gradient Boosting vs Adaboost

Boosting makes decision trees cool again. Here, gradient boosting and adaboost are the most common boosting techniques for decision tree … More

Tree-based algorithms are very promising in daily data science problems but their some extended adaption makes them so popular nowadays. … More

Facial recognition requires high privacy concerns. Blindly use of facial data can cause the stolen of the credentials and lead … More

Design patterns are the best practices in a software engineering but they are mostly missing in machine learning studies. Software … More

Facial recognition, reverse image search or natural language processing are all based on vector embeddings. Graphs are powerful way to … More

Graph databases are very powerful tools to store entities and its relations. Those data stores also offer to reveal some … More

A production-driven facial recognition pipeline comes with the common concerns about how to store the vector embeddings. Because vectors are … More

InsightFace entered to the facial recognition world with two spectacular modules: its face recognition model ArcFace, and its face detection … More

A common mistake is to classify logistic regression algorithm as a non-linear machine learning model. In this post, we are … More