name: Bas Geerdink
title: The Fortune Teller API: doing data science with Spark and Zeppelin
length: 40 minutes
audience: Intermediate: Familiar with principles, not well versed in specifics
language: English
twitter: bgeerdink
github: geerdink
icon:
organization: ING
tags:
Big Data / Fast Data, Data Science / Machine Learning, Software Design and Architecture
In this session, we’ll create an application for predicting life events with machine learning technology. A few slides with a common process and AI theory will be our starting point. Next, we'll walk through the architecture and source code of a predictive analytics system, created with Scala and Spark. Join if you want to have an overview of a data science project from start to go-live!
tomoco95
commented
8 years ago
name: Bas Geerdink title: The Fortune Teller API: doing data science with Spark and Zeppelin length: 40 minutes audience: Intermediate: Familiar with principles, not well versed in specifics language: English twitter: bgeerdink github: geerdink icon: organization: ING tags:
Big Data / Fast Data, Data Science / Machine Learning, Software Design and Architecture
In this session, we’ll create an application for predicting life events with machine learning technology. A few slides with a common process and AI theory will be our starting point. Next, we'll walk through the architecture and source code of a predictive analytics system, created with Scala and Spark. Join if you want to have an overview of a data science project from start to go-live!