How to distribute hyperparameter tuning using Ray Tune

In the first article of our three-part series, we learned how tuning hyperparameters  helps find the optimal settings for the best results from our machine learning model. Then, in the second article, we learned, and discovered that our tuned model makes more accurate predictions than our untuned model. Depending on the search space, it can […]

How to tune hyperparameters on XGBoost

In the first article of this series, we learned what hyperparameter tuning is , its importance, and our various options. In this hands-on article, we’ll explore a practical case to explain how to tune hyperparameters on XGBoost. You just need to know some Python to follow along, and we’ll show you how to easily deploy machine […]

Managing Native Python Dependencies in Your CI/CD Pipeline

Application dependencies are like a city’s drainage system: when properly built and well managed, they become invisible in the apps we build, and we forget about them. Setting up a Python project can be as easy as using pip to install all the dependencies we need before we can start. This may work — if […]

Embedded IoT Databases with Actian Zen and Python

Introduction In the past, embedded computing was a tiny niche of the software development world. Hardware was expensive, difficult to obtain, and even more difficult to write software for. Fortunately, that is changing. With the introduction of inexpensive, easy-to-use embedded devices like the Raspberry Pi, IoT computing has moved into the mainstream. While not as […]