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

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Description for ML with Apache Spark

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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