In today’s data-driven world, the ability to build scalable machine learning models has become increasingly important. With the exponential growth of data, traditional machine learning approaches are often not sufficient to handle the large datasets that many organizations are dealing with. This is where Apache Spark comes in, providing a powerful distributed computing framework that allows you to build and train machine learning models at scale.
During this workshop, you will gain hands-on experience using Spark ML in Apache Spark to build and test different machine learning models. You will learn about the unique challenges and opportunities that arise when working with big data, including data preparation, feature engineering, and model selection.
Note: These are tentative details and are subject to change.