Posts by: Nwoke tochukwu


The emergence of the full-stack ML engineer

This blog was written by Prassanna Ganesh Ravishankar, Senior Machine Learning Software Engineer at Papercup. A bit of history “In the beginning was the code” (nice TED talk here). Way back in the 1980s, the client-server programming paradigm came into being. This changed... View article


Monitoring ML models with FastAPI and Evidently AI

ML model Monitoring is a delicate phase in the MLOps lifecycle. Understanding how to implement monitoring is crucial in the development process. In this blog, Duarte shows how to monitor your ML model in production using Evidently AI. This article... View article

Drug Discovery

Drug Discovery with Deep Learning at Recursion

Drug discovery is time consuming, difficult and expensive. It also has a high failure rate. This post explains some of the unique challenges that Recursion faces in operationalizing deep learning to build maps of human cellular biology used to develop... View article


Monitoring Regression Models Without Ground-Truth

Deploying a machine learning model to production is just the first step in the model’s lifecycle. After the go-live, we need to continuously monitor the model’s performance to make sure the quality of its predictions stays high. This is relatively... View article

Production Machhine Learning

Components of a Production ML System Using Only Python

Learning about production ML systems is hard, and getting hands-on experience with them can be even harder. In this post Kyle Gallatin blog breaks down some common components of production ML systems and demonstrates how you can implement simplified versions of them using just Python code.... View article