This is mock-up module. DO NOT edit or modify any content. Actual content will be fetched from the automation script
(do not edit)
(do not edit)
NOTE: This content block is mandatory and should not be edited or deleted. Deleting this block will affect webinar registration form associated automations. You can add other content blocks/layouts as required for your campaign.
Learn Analytics and Machine Learning with Oracle and Red Bull Racing

What makes a race GREAT?

We're sure you know the feeling, sometimes a race is so exciting that you can't look away for one second, while other times the result is clear from the beginning.

What is that "magic" factor that makes a race exciting? Is it the amount of overtaking? Is it the battle for the number 1 position? Is it the weather conditions? Or are we missing some invisible factor that we can't quite understand yet?

The answer to the question lies hidden away in data. 70 Years of racing data to be precise!

In this 2 hour workshop, you will have the opportunity to experiment with data using a combination of techniques to look for the answer.

You will extract key pieces of information that define the essence of each race and visualize races and seasons using advanced techniques to determine how interesting each race is.

You will learn the basics of ANALYTICS and MACHINE LEARNING and become familiar with the entire process, from data preparation and visualization, to model building, prediction and evaluation. You'll experience first-hand what challenges data scientists!

So come join us in this fun workshop and solve the challenge!

No previous experience is required. We will provide instructions to get your Oracle Cloud free tier account.

Featured Speaker
Olivier Perard
Principal Data Scientist

Olivier is a Data Scientist Advocate of DevRel Team for Oracle. He adds his extensive experience in enterprise software, including data warehousing, integration, master data management and Big Data to the panel discussion. He is also a professor of masters in different universities for Big Data Analytics. In his spare time, he loves running, cooking, and coding in different languages (Java, Python, R, Scala).