Dimitris Poulopoulos, Author at Accelerate Models to Market with Arrikto

Dimitris is a Software Engineer at Arrikto, working to facilitate the Data Scientist's transition into the MLOps world. He holds an MSc in Network-Oriented Systems and Services from the University of Piraeus, Greece. Previous experience includes work on context-aware recommendation systems for implicit feedback datasets, automatic error detection for tabular data sets and incremental learning.

Hyperparameter Tuning in Kubeflow

Dec 7, 2022 | Blog and Kubeflow Updates

Hyperparameter Tuning (HP Tuning) in Machine Learning (ML) is the process of automatically choosing a set of optimal hyperparameters for a learning algorithm. But first, what do we refer to as hyperparameters? What is the difference between the model's parameters (or...