ML with Apache Spark

ML with Apache Spark

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Gain comprehensive knowledge of ML pipelines, model persistence, Spark applications, data engineering, and hands-on experience with Spark SQL and SparkML for regression, classification, and clustering.

Key AI Functions:Machine Learning,Machine Learning Pipelines,Data Engineer,SparkML,Apache Spark

Description for ML with Apache Spark

Features of Course

  • Analyze ML pipelines and model persistence, summarize generative AI, discuss Spark's applications, and describe ML and its role in data engineering.
  • Compare data engineering pipelines with ML pipelines, evaluate ML models, and differentiate between regression, classification, and clustering models.
  • Utilize Spark SQL to develop the data analysis processes, and SparkML to execute regression, classification, and clustering.
  • Exhibit the ability to establish connections to Spark clusters, construct ML pipelines, execute feature extraction and transformation, and maintain model persistence.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by IBM

    Duration: 15 hours (approximately)

    Schedule: Flexible

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