Machine Learning with Apache Spark


Trends & Future

Date and time

Thursday, 19. May 2016., 12:40


Hall A



Apache Spark, and its components Spark ML and MLlib in particular, offer a range of possibilities for machine learning on large data sets. Spark contains powerful algorithms for supervised and unsupervised learning, regression, classification and clustering, as well as methods for data transformation and preparation. I will give an overview of these algorithms and methods and examples of Apache Spark programs using them. Time permitting, the presentation will also inlucde live demos.

Lecture details

Type: Lecture
Level of difficulty: Detailed
Experience Level: Experienced
Desirable listeners function: System Arhitect , Developer , Counsultant

About speaker

Like us on Facebook

We post news, photos and other interesting facts on official JavaCro Facebook Page.

Follow us on Twitter

Keep up to date with all the news on Twitter!


The conference is organized by the Croatian Association of Oracle users & Croatian Java Users Association. 

Media Sponsors