Purpose

This tutorial demonstrates how to easily establish the architectural stack for doing data science and machine learning projects on AWS, then deploy the machine learning model to Lambda for real-time prediction. This tutorial, specifically, covers deep learning using MXNet.

Prerequisites

• Basic knowledge of cloud computing basics
• Basic experience with Python
• Basic knowledge of Data Scient methodologies, specifically CRISP-DM

Recommended Sequence

1. CRISP-DM Parts 3-5, found in folder 'crispdm345-training'
2. CRISP-DM 6 on AWS Lambda, found in folder 'crispdm6-pred-lambda'
3. CRISP-DM 6 on AWS Batch, found in folder 'crispdm6-pred-batch'

Details

Author: Jake Chen ([email protected])