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    Machine Learning with Spark ML

    Posted By: IrGens
    Machine Learning with Spark ML

    Machine Learning with Spark ML
    .MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 2h 7m | 454 MB
    Instructor: Ivan Mushketyk

    Learn how to use Spark ML to build scalable machine learning solutions. Get hands-on with regression, classification, feature engineering, model evaluation, hyperparameter tuning and more, plus learn deep learning integration with Apache Spark.

    What you'll learn

    • Use Spark ML to build scalable machine learning models
    • Apply regression and classification algorithms
    • Apply feature engineering techniques at scale
    • Evaluate model performance with the right metrics
    • Optimize models through hyperparameter tuning
    • Integrate deep learning tools with Spark
    • Handle big data Machine Learning workflows efficiently
    • Build production-ready Machine Learning pipelines

    Machine learning doesn’t stop at theory…it needs to scale. In this course, you'll learn how to take ML models to production-level scale using Spark ML.

    We'll dive into hands-on techniques for regression and classification, explore smart feature engineering, and show you how to evaluate and tune models for real performance. You'll also get a glimpse of how deep learning can plug into your Spark workflows.

    If you're ready to stop experimenting and start building, this is where it happens.


    Machine Learning with Spark ML