Is It Corked? Wine Machine Learning Predictions with OAC

Session Number: 8712
Track: EPM Reporting, BI Analytics, and Data Visualization
Sub-Categorization: BI Analytics
Session Type: Solutions
Primary Presenter: Francesco Tisiot [BI Tech Lead - Rittman Mead]
Time: Jun 25, 2019 (03:45 PM - 04:45 PM)
Room: 3B, Level 3

Speaker Bio: Francesco, an analytics enthusiast, is a BI tech lead at Rittman Mead. As an analyst, architect, and developer, he has built expertise in data integration and business analytics over the years. He also delivers Oracle trainings for Rittman Mead. Francesco stays involved in the Oracle Analytics community by providing support on ODC forums; blogging on the Rittman Mead website; speaking at various conferences, including the BIWA summit, ODTUG Kscope, and European OUGs; and being part of various Oracle beta programs. Francesco is also a board member of the Italian Oracle User Group.

Fields of expertise: Dimensional modeling, DevOps, ETL, business analytics, and ML

Technologies or Products Used: Oracle Analytics Cloud, R, Python

Session Summary for Attendees:  What do you know about machine learning and artificial intelligence? How deep do you need to study before you can actually start implementing them? Oracle Analytics Cloud democratizes the concept of data science; data cleansing, enrichment, model training, and evaluation are now tasks that can be performed visually in the tool, lowering the barrier to machine learning.

This presentation will show a live machine learning example with OAC, starting from a wine rating dataset. We will understand the features, enrich them, build a predictive model to score the wine rating, and validate it against unseen data, all with a simple GUI and without having to write a single line of code!

Are you ready to see machine learning in action and understand all the steps involved in building and validating a model? Then check out this session!