Machine Learning in Production with AWS Amazon Sagemaker - Series 1

This is a three part series where we will be exploring the various machine learning engineering workflows and bigdata methods. Part 1 of the series will be covering Amazon Sagemaker. We will go through the basics of sagemaker, lambda functions and then walk through an example. The code and notebook will then be shared to all attendees. Make sure you have an amazon aws account if you want to follow along! (the free tier should work but I will go through the costings of some of the machines that you will most likely use for slightly bigger datasets)

We will also be covering cloud infrastructures like GCP and more machine learning lifecycle frameworks like ML Flow that is compatible with TensorFlow, PyTorch, Keras, Scikit, Spark MLlib, MLeap, ONNX, and H2O model formats.