Silicon Valley Code Camp : October 3rd and 4th 2015
Stephen Boesch
Scala/Spark/Machine Learning Developer · Intuit
About Stephen
I am a developer focusing on scalable apps for data pipelines and machine learning on Hadoop and Spark infrastructures. My background is in Java/Oracle/ETL from 1996 until 2011, at which point I started to focus on Hadoop, Spark and Scala. My work has been at a mix of the familiar large Internet/Systems company names and startups.
Speaking Sessions
A Survey of Machine Learning Techniques Using Spark.ml 1.5.0
Recent releases of Spark machine learning libraries have shifted focus from the individual algorithms approach of the spark.mllib package to the data-driven pipelines approach of spark.ml. We will look at how to structure ML processes of data loading, modeling, predictions, and results analysis and distribution using the latest spark.ml api's.Note: this year's session will focus only on the scala API's.
We will touch on one or more of the algorithms in the following areas:
- Dimensionality Reduction / Feature extraction
- Clustering
- Classification and Regression
- Statistical tools
- Data generation and randomization
- Evaluators