When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
The Databricks Certified Associate ML Practitioner for Apache Spark 2.4 certification exam assesses the understanding of basic machine learning concepts and machine learning workflow knowledge, including supervised learning vs. unsupervised learning, regression vs. classification, clustering, cross-validation, model tuning, model evaluation, and model interpretation, as well as the understanding of the format and content of the Spark ML library. Candidates will also be assessed in their ability to use Spark ML to accomplish basic tasks in the machine learning workflow.
Prerequisites
The minimally qualified candidate should:
- be able to apply the Spark ML library to complete individual tasks in the machine learning workflow
- understand the structure and format of the Spark ML library
- have a basic knowledge of general machine learning and workflow, including:
- supervised vs. unsupervised learning
- regression vs. classification
- clustering
- cross-validation
- model and hyperparameter tuning
- model evaluation and selection
- interpreting model results
