Tinyclues Vision

Group-by data augmentation for e-commerce datasets

Introducing a new training strategy for learning…

Universal Machine Learning approach for targeted marketing campaigns

Building a flexible ML framework…

Why we use Cloud Composer

Benefits and costs of using Airflow in a cloud-native environment

Explaining Data Porosity

How to handle diverse data with a permeable data infrastructure

Rapid Batch Inference in Google Cloud

How we tweaked Google’s new SQL-based ML Framework to scale our…

4 Design Principles for Robust Data Pipelines

Design Principles for traditional Software Engineering…

Optimizing TensorFlow Models for Inference

How we found a simple way to reduce the memory consumption of production models by up to 80% with no loss in predictive power!

SQL is not dead (never was!)

The SQL language has allowed users to query and transform structured data for decades now.

Beyond Cold-Start

How Self-Supervised and Transfer Learning Solve Real-life Marketing Problems