Ease your Machine Learning work with MLflow
MLflow is an open-source platform that helps to manage the ML lifecycle, including experimentation, reproducibility, and deployment.
Blog
Machine Learning with Kotlin
As Kotlin can leverage the JVM ecosystem, there are already good libraries to get things done.
Share and deploy your Machine Learning services with Docker
Many resources focus on machine learning algorithms, which are really interesting, yet forget about the end of the cycle.
Technical Debt in Machine Learning
I have come across a very interesting paper about Technical debt in Machine Learning.
Reproducible Python project with Pipenv
Pipenv provides a simple way to create and manage independent Python environment as well as installing/removing packages. Nowadays it is the recommended tool to handle your Python projects.
Deep Learning Setup on Windows 10
I used to work on a Mac and don't bother configuring for Deep Learning. However, as Windows is not supported by nvidia_docker, I had to find a way. Here is my new Deep Learning development setup on Windows 10.