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Thoughts on software development, AI, and technology.
Python
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.
Kotlin
Machine Learning with Kotlin
As Kotlin can leverage the JVM ecosystem, there are already good libraries to get things done.
Python
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.
Papers
Technical Debt in Machine Learning
I have come across a very interesting paper about Technical debt in Machine Learning.
Python
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.