Juha KiiliinTowards Data ScienceData Science at the Command LineWhat every data scientist should know about the shellAug 15, 2022Aug 15, 2022
Juha KiiliinTowards Data ScienceContinuous Deployment of ML Models to the EdgeReal-life example: Worksite safety monitoringJul 13, 2022Jul 13, 2022
Juha KiiliinTowards Data SciencePython Dependency Management for Data ScienceWhat every data scientist should know about Python dependenciesJun 27, 2022Jun 27, 2022
Juha KiiliinTowards Data ScienceDocker for Data ScienceWhat every data scientist should know about DockerJun 13, 20222Jun 13, 20222
Juha KiiliinTowards Data ScienceGit for Data ScienceWhat every data scientist should know about GitMay 2, 2022May 2, 2022
Juha KiiliinTowards Data ScienceBuilding a YOLOv3 pipeline with Valohai and Superb AIThe value of setting up a pipeline compounds every time the model is trainedJun 9, 2021Jun 9, 2021
Juha KiiliinTowards Data ScienceHow We Trained 277M Models for the Black-Box Optimization ChallengeValohai MLOps platform provided the infrastructure for the Black-Box Optimization Challenge for the NeurIPS 2020 conference. The…Dec 23, 2020Dec 23, 2020
Juha KiiliValohai’s Jupyter Notebook ExtensionValohai is a deep learning platform that helps you execute on-demand experiments in the cloud with full version control. Jupyter Notebook…Jun 11, 2019Jun 11, 2019
Juha KiiliinTowards Data ScienceAsynchronous Workflows in Data SciencePointlessly staring at live logs and waiting for a miracle to happen is a huge time sink for data scientists everywhere. Instead, one…May 31, 2019May 31, 2019
Juha KiiliinTowards Data ScienceReinforcement Learning Tutorial Part 3: Basic Deep Q-LearningIn part 1 we introduced Q-learning as a concept with a pen and paper example.Feb 28, 20196Feb 28, 20196