Published inTowards Data ScienceThe cost of “computational debt” in machine learning infrastructureHow to maximize the utilization and scalability of your ML serversSep 30, 2020Sep 30, 2020
Published inTowards Data ScienceTraining ML models directly from GitHubIn this post, I’ll show you how you can train machine learning models directly from GitHub. I originally presented this workshop at GitHub…May 11, 2020May 11, 2020
Machine Learning Pipelines with Human ValidationsEnd-to-end machine learning and pipeline automation is a popular topic these days in the data science and engineering community. Companies…May 11, 2020May 11, 2020
Why we decided to release a free ML platform to the data science communityThe making of cnvrg CORE, a platform helping data scientists get back to the core of data science — algorithmsApr 1, 2020Apr 1, 2020
Published inTowards Data Science5 Considerations Before Building an In-House Data Science PlatformMy business partner and I started almost 7 years ago as data science consultants helping enterprises incorporate AI into their business…Jan 20, 20201Jan 20, 20201
Published inTowards Data ScienceHow to compile TensorFlow 1.12 on Ubuntu 16.04 using DockerThis tutorial will help you set up TensorFlow 1.12 on Ubuntu 16.04 with a GPU using Docker and nvidia-docker.Sep 15, 20191Sep 15, 20191
Published inTowards Data ScienceHow to apply continual learning to your machine learning modelsImprove model accuracy and strengthen performance with continual learningJul 11, 20195Jul 11, 20195