Pavlos Mitsoulis

Feb 23, 2021

How to Deploy a Machine Learning Model as a Streaming Application

Streaming based machine learning predictions are very useful when it comes to high traffic and democratizing predictions of models in organizations. Let’s examine a use case where a streaming based machine learning system is more efficient compared to real-time (synchronous) predictions (RESTful in most cases) and batch predictions. You’re leading…

Mlops

3 min read

How to Deploy a Machine Learning Model as a Streaming Application

Published in Analytics Vidhya

·Mar 25, 2020

How Multi-Armed-Bandits can help us in the fight for Covid-19 — Part 1

I’m an AWS ML Hero and I was thinking how Reinforcement Learning and AWS can help to make the distribution of Covid-19 test kits in a more effective and efficient manner. Why? Identifying as many people who are infected as possible looks to be one of the key things to…

Covid 19

5 min read

Jun 15, 2019

SageMaker Reinforcement Learning: From Zero to Hero

Do you remember the days at university studying AI and Reinforcement Learning theories before the last decade’s AI boom? YES! :-) I’m pretty sure that you were also exposed to some toy examples, such as finding your way in a Maze or the Atari Pong game. Then, you asked yourself…

Machine Learning

5 min read

SageMaker Reinforcement Learning: From Zero to Hero

Published in Kenza Blog

·May 21, 2018

Sagify: Training and Deploying ML/DL models on AWS SageMaker made simple

As a Data Scientist or Machine Learning engineer, I’m sure you have faced the following situation: you are working on a Machine Learning or Deep Learning project, and you need to train and deploy your models in production. …

AWS

4 min read

Sagify: Training and Deploying ML/DL models on AWS SageMaker made simple