Tutorials, courses, workshops, etc.
ML in Production - Deployment Series
A multi-part blog series on deploying machine learning models in an automated, reproducible, and auditable manner.
The Illustrated Self-Supervised Learning
A visual introduction to self-supervised learning methods in Computer Vision
Build your first data warehouse with Airflow on GCP
What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline?
Machine Learning: Tests and Production
Best practices for testing ML-based systems.
A Recipe for Training Neural Networks
The most common neural net mistakes and listing a few common gotchas related to training neural nets.
Tutorials | TensorFlow Core
The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup.
Bayesian Active Learning (BaaL)
BaaL is an active learning library by ElementAI. This repository contains techniques and reusable components to make active learning accessible for all.
TensorFlow Extended Workshop
Slides for teaching a complete workshop on TensorFlow Extended.
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