Analytics and Data Summit 2020

In this session you will learn how to train an audio recognition model using the new OCI Data Science (OCI DS) service. You will create a project, start a notebook session, pull audio data from OCI object storage using the Accelerated Data Science (ADS) SDK, and train a custom open source deep learning model to recognize different spoken words. As a final step in this lab you will deploy this deep learning model as a web application using Oracle Functions so that it can be call from external tools/applications. This lab will also give you an overview of the features of the new OCI DS service. We will also go through the process of setting up the service in your OCI tenancy.

The Oracle Big data appliance uses the Cloudera Hadoop distribution inside. This lab uses a VM for the Cloudera Hadoop Distribution and challenges the student to be a data analyst.1) Lab instructor will slide the whole lab and present it step by step. 2) Student will be given instructions on how to download the VM for the lab and get it setup. they can do this post the lab at the leisure of their home. 3) There will be a lab TA who will address concerns for students who want to do the lab as it is being presented. 4) There will be no Cloud, infrastructure or laptop needed. 5) Students can listen to the whole presentation and focus on the learning. They will be encouraged to take notes and keep it interactive (so they can work on their own later).