yochzeinTowards Data ScienceThe cost of “computational debt” in machine learning infrastructureHow to maximize the utilization and scalability of your ML servers6 min read·Sep 30, 2020----
yochzeinTowards 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…3 min read·May 11, 2020----
yochzeMachine 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…4 min read·May 11, 2020----
yochzeWhy 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 — algorithms5 min read·Apr 1, 2020----
yochzeinTowards 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…6 min read·Jan 20, 2020--1--1
yochzeinTowards 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.4 min read·Sep 15, 2019--1--1
yochzeinTowards Data ScienceHow to apply continual learning to your machine learning modelsImprove model accuracy and strengthen performance with continual learning8 min read·Jul 11, 2019--5--5