Discover AWS Serverless way to Deploy Food Recipe Application in 7 Easy Steps
This post shows AWS serverless architecture to deploy a machine learning application. I will deploy the food recipe application as discussed here using AWS Fargate. Fargate is a service provided by AWS Serverless computing that removes the need to provision and manage servers. You can specify and pay for resources per application and improves security […]
How to Quickly Save a Trained Machine Learning Model
This blog post discusses how to quickly save a trained machine learning model that suggests recipes based on the user’s data, and nutritional value using Joblib and Pickle. The reason I decided to work on this is that the domain of food is varied and complex and presents many challenges to developing a recommender system. […]
7 ShortListed Free and Decisive MLOps Tools for Food Recipe Application
This article discusses Machine Learning Model Operationalization Management (MLOps) tools to develop and deploy a food recipe application. It lists the tools that are framework-, platform-, and infrastructure-agnostic using Python for development. To find the ideal tool for the MLOps task, a decision-making and analysis process is employed. The goal is to design an end-to-end […]