In this post, we will explore the installation of Seldon Core (the latest stable) with OpenShift Kubernetes. Seldon Core is an open-source platform for deploying machine learning models on a Kubernetes cluster. Pre-requisites: Kubernetes cluster ≥ 1.12. For Openshift it requires version 4.2 or higher Installer method: Helm ≥ 3.0 …

In this article, we will see the E2E flow in operationalizing AI on popular open-source tools. The idea is to make the architecture or toolsets more cloud-agnostic. A typical Machine Learning lifecycle is broadly categorized into 3 classes: Data Processing (Data Engineer Domain) Model Training (Data Scientist Domain) Model Serving…

In the previous post, we have seen a brief introduction of MLOps, steps, and ML production challenges. In this post, we will discuss 2 things: Tools Team composition Popular MLOps Tools — Cloud options and Open Source

Let's start with a brief story… The story is all about the struggle of two teams in Production. One is Data Science and another is Data Engineering. The problem is, how to automate the complex, iterative nature of a Machine Learning pipeline in the production environment, as well as bring…

R and Python are two widely used tools or languages by the data analyst and Scientists. So, it will be great if there is any way to exchange data between these two. Here comes “Feather” — A fast, lightweight, language agnostic and easy-to-use binary file format for storing data frames…