Key value databases come with a high speed and performance where we mostly cannot reach in relational databases. Herein similar…
Deep Face Recognition with Relational Databases and SQL
A face recognition task requires to store multidimensional array and make calculations over it. This task is not mostly matching…
Deep Face Recognition with Hadoop and Spark
Large scale face recognition is always a challenging task. Nowadays, hadoop based approaches become a de-facto standard for solutions. This…
Deep Face Recognition with Cassandra
We mostly need the power of map reduce of no sql databases when the data becomes really big and massive.…
Deep Face Recognition with mongoDB
Face recognition is mainly based on similarity search on facial embeddings. Researches mostly focus on storing vector representations on memory.…
Feature Importance in Logistic Regression for Machine Learning Interpretability
Feature importance is a common way to make interpretable machine learning models and also explain existing models. That enables to…
Designing Recursive Functions with Python Multiprocessing
Multiprocessing is a must to develop high scalable products. However, python multiprocessing module is mostly problematic when it is compared…
Deep Face Recognition with ArcFace in Keras and Python
ArcFace is developed by the researchers of Imperial College London. It is a module of InsightFace face analysis toolbox. The…
A Gentle Introduction to ROC Curve and AUC in Machine Learning
Model evaluation is very important stage of a machine learning pipeline to understand the robustness. Herein, ROC Curves and AUC…
Large Scale Face Recognition with Elasticsearch
Previously, we have mentioned large scale face recognition with Spotify Annoy, Facebook Faiss and NMSLIB. Those are spectacular but very…
