Areas of particular interest for the workshop include (but are not limited to):

• Data Management in Machine Learning Applications

• Definition, Execution and Optimization of Complex Machine Learning Pipelines

• Systems for Managing the Lifecycle of Machine Learning Models

• Systems for Efficient Hyperparameter Search and Feature Selection

• Machine Learning Services in the Cloud

• Modeling, Storage and Lineage of Machine Learning experimentation data

• Integration of Machine Learning and Dataflow Systems

• Integration of Machine Learning and ETL Processing

• Data Cleaning and Data Integration in Machine Learning applications

• Benchmarking of Machine Learning Applications

• Definition and Execution of Complex Ensemble Predictors

• Architectures for Streaming Machine Learning