Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Data science and machine learning with Apache Spark (Day 2) (SOLD OUT)

Behzad Bordbar (Cloudera)
Location: Capital Suite 1

Behzad Bordbar demonstrates how to implement typical data science workflows using Apache Spark. You’ll learn how to wrangle and explore data using Spark SQL DataFrames and how to build, evaluate, and tune machine learning models using Spark MLlib. Demonstrations and exercises will be conducted in Python using Cloudera Data Science Workbench.

Outline

  • Introduction to Spark SQL DataFrames
  • Reading and writing DataFrames
  • Transforming and joining DataFrames
  • Grouping and exploring DataFrames
  • Introduction to Spark MLlib
  • Extracting and transforming features
  • Building and evaluating regression, classification, and clustering models
  • Tuning hyperparameters and validating models
  • Working with machine learning pipelines
Photo of Behzad Bordbar

Behzad Bordbar

Cloudera

Behzad Bordbar is a mathematician, software engineer, and big data technical instructor at Cloudera, where he teaches courses on Hadoop, Hive, Impala, and Spark. Behzad has worked in academia for over 12 years and has been a visiting scientist at HP, BT, and IBM.