The AWS Machine Learning Framework: A comprehensive guide to bringing models to production

Data scientists develop a functioning model using a machine learning framework and some data. The developed model has a low error rate and a set of hyperparameters optimized. But when…

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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…

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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…

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Full-stack Deep Learning Application Using AWS Fargate Serverless Infrastructure

This post showcases full-stack Deep Learning Application Using AWS Fargate Serverless Infrastructure. The project we optimise a model for Utilisation of hospital beds - COVID-19. It is motivated by the…

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AI for Healthcare
AI for Healthcare

AI for Healthcare

This post provides a link to my Github repository for my submissions for Udacity's AI for Healthcare Nanodegree Program. I learned to build, evaluate, and integrate predictive models that have the power to transform patient outcomes and uses AI for Healthcare.  I started by classifying and segmenting 2D and 3D medical images to augment diagnosis and then moved on to modelling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, I build an algorithm that uses data collected from wearable devices to estimate the wearer's pulse rate in the presence of motion. Applying AI to 2D Medical Imaging Data…

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