Webinar date: June 17, 2020
[databricks on-demand artificial inteligence software development webinars ai]
The Databricks Online Learning Series aims to provide data team members with the essentials to understand how unified data analytics can bring data science and engineering together to accelerate your ML efforts.
On 17 June, we will provide an overview of how to Build a Recommendation Engine on Databricks.
Many of today’s most engaging – and commercially important – applications provide personalised experiences to users. Collaborative filtering algorithms capture the commonality between users and enable applications to make personalised recommendations quickly and efficiently.
Leading this session, Jonathan Choi, Solutions Architect, Databricks Australia & NZ, will run through the entire ML lifecycle, from preparing data to training and tuning models to deployment.
You will walk away from this session with the knowledge and tools needed to implement your own recommendation system on Databricks.
Date & Time
Space is limited!
RSVP now to save your spot.
REGISTER HERE TO THIS WEBINAR