OGB Tour


Heli Helskyaho

Predicting Beer Ratings with in-database machine learning and APEX in Autonomous Transaction Processing Cloud (ATP)

Heli Helskyaho
Miracle Finland Oy

SQL and PL/SQL are very powerful languages for machine learning but the visualization capabilities are limited. In this presentation we will see how APEX can be used as a visualization interface for in-database machine learning.

We will demonstrate the whole process of predicting beer ratings starting with collecting and analyzing data to implementing the beer rating application made with APEX. And we will visualize the process using APEX. We will be using SQL, PL/SQL, classification, and APEX.


Informacije o predavanju

Jezik / Language: ENG


O Avtorju

Heli Helskyaho is the CEO of Miracle Finland Oy and an Ambassador for EOUC (EMEA Oracle Users Group Community). Heli holds a Master’s degree (Computer Science) in the University of Helsinki and she is specialized on databases. At the moment she is working on her doctoral studies, researching and teaching at the University of Helsinki. Her research areas cover Big Data, multi-model databases, schema discovery and methods and tools for utilizing semi-structured data for decision making. Heli has been working on IT since 1990. She has been in several positions but every role has always included databases and database designing. Heli believes that understanding your data makes using the data much easier. Heli is an Oracle ACE Director and a frequent speaker in many conferences. She is the author of Oracle SQL Developer Data Modeler for Database Design Mastery (Oracle Press 2015) and a co-author of Real World SQL and PL/SQL: Advice from the Experts (Oracle Press 2016). Heli was listed as one of the TOP 100 influences on IT sector in Finland in 2015, in 2016, in 2017, and again in 2018.

  • # MachineLearning
  • # Database Development
  • # APEX

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