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Apache Spark ML and Distributed Learning - Complete Course Series

Databricks via YouTube

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Learn machine learning fundamentals using Apache Spark through this comprehensive video series covering data import, exploratory analysis, transformers, estimators, pipelines, featurization, and model training with interpretation techniques for distributed learning environments.

Syllabus

Apache Sparkâ„¢ ML and Distributed Learning (1/5)
Data Import and Exploratory Analysis (2/5)
Transformers, Estimators, and Pipelines (3/5)
Featurization (4/5)
Model Training and Interpretation (5/5)

Taught by

Databricks

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