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How Do I Know My Machine Learning Data Model is Good

An Example Using Oracle Analytics Cloud

Datavail, an Oracle Partner, is pleased to partner with the Oracle Development Tools User Group (ODTUG) to present an upcoming webinar on September 29, 2021.

How Do I Know My Machine Learning Data Model is Good – An Example Using Oracle Analytics Cloud



Presenter: Jorge Anicama, Senior Manager Oracle Analytics
Date: September 29, 2021
Time: 12:00 p.m. EDT

 
A Data Model is the key output part of a Machine Learning (ML) process. It helps the prediction of new outcomes as new values are inserted into it. But, how can we make certain that we have the right data model? Each ML technique is associated with metrics that evaluates the ML data model performance. This presentation will answer this using Oracle Analytics Cloud (OAC) as an example.

This presentation will demonstrate the most commonly used ML techniques and algorithms, and their corresponding Data Model evaluation metric. Then, we will use Oracle Analytics Cloud (OAC) to provide a comparison by using a data set (Titanic or Cancer- dataset).

Make sure to register and attend the webinar for a chance to win these cool Bose Audio Sunglasses, with ear headphones & Bluetooth! Both functional and good looking!

About the Presenter

Jorge Anicama, Senior Manager Oracle Analytics at Datavail, is a data management and analytics professional with over 15 years of experience in all phases of management & planning, implementing Data Integration and BI/Data Warehousing Solutions for customers in North America, Latin America, and Europe.

Datavail is an Oracle Partner with 17 specializations backed by a dedicated team with expertise in BI/Analytics, data warehousing, analytics reporting, and enterprise performance management. Datavail’s expert consulting team specializes in data visualization, dashboard development, integrations, implementations, and upgrades for applications across the across the Oracle stack, including Hyperion, OBIEE, OBIA, GoldenGate, OAC, WebLogic, and more.

Event Details

City: Virtual

Venue: Digital

When: September 29, 2021

Time: 12:00 p.m. EDT