Introduction to Machine Learning using Spark for Developers

We're happy to in to invite you to our Google Event - Machine Learning using Spark for Developers.

Machine Learning is more available today then ever due to API's in the cloud as services. They are mostly used for Neural Networks but also other API's. But Machine Learning also becomes available to the developers of Big Data applications using Spark-MlLib.
This is a different approach: implement the different ML algorithms on Big Data and not by close API's.

** To ensure your participation, please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSeZqsm9le0RHyiQ34lKi6X3jB3bfOFYQQ4cAD4iowUykBL8kA/viewform?entry.136430531=Machine+Learning+&entry.1821633657&entry.1213070811&entry.278235831) (https://docs.google.com/forms/d/e/1FAIpQLSeZqsm9le0RHyiQ34lKi6X3jB3bfOFYQQ4cAD4iowUykBL8kA/viewform?entry.662776577=Javascript&entry.136430531=functional)**

In this meetup we will have two sessions:
5:00 - 5:30 - Reception, Networking, Coffee&cakes.

5:30 - 6:30 - Lecture by Ilan Goldenstein (https://www.tikalk.com/java/ilang/) from Tikal (http://www.tikalk.com/hebrew/).
Introduction to Machine learning: learn what are the capabilities and algorithms that we can use.
What are the differences between the different approaches and algorithms.

6:30 - 6:45 - Break : Coffee&cakes with Networking

6:45 - 8:00 - Lecture by Ran Silberman (http://www.tikalk.com/java/rans/) from Tikal (http://www.tikalk.com/hebrew/)
Implement ML on real world problems using Spark MlLib.
In this lecture we will show different algorithms that can be used and compare between them .Code will be shown in Spark/Scala.

**Here's the participation form (https://docs.google.com/forms/d/e/1FAIpQLSeZqsm9le0RHyiQ34lKi6X3jB3bfOFYQQ4cAD4iowUykBL8kA/viewform?entry.136430531=Machine+Learning+&entry.1821633657&entry.1213070811&entry.278235831) again.

Hope to see you all,
Tikal Team