My purpose in this post is to provide an easy step-by-step guide on how to deploy machine learning on an AWS serverless architecture. I will… Read More »Easy Step-by-Step Guide – Deployment of Machine Learning Models on AWS Serverless Architecture
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… Read More »How to Quickly Save a Trained Machine Learning Model
This first blog post (MLOps#1) provides an overview of the food recipe recommender system. I am going to share blog posts as I go through… Read More »One Decisive Overview of the Food Recipe Recommender System
This post details how to develop data-driven analytics support for e-commerce. E-Commerce is a fast-growing and highly competitive space. Businesses need to continue testing and… Read More »Data-driven Analytics Support for E-commerce
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.… Read More »Full-stack Deep Learning Application Using AWS Fargate Serverless Infrastructure
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… Read More »AI for Healthcare
In this notebook, novelty and anomaly and segmentation discovery using Matrix Profile. We are using Stumpy for time series data mining tasks. We’ll examine a… Read More »Novelty, Anomaly and Segmentation Discovery using Matrix Profile
“Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data” is the topic of my final year project as part of my MSc… Read More »Classification of Alzheimer’s Disease Stages using Radiology Imaging and Longitudinal Clinical Data – Part 1
