Apache Spark provides a robust framework for implementing machine learning and deep learning. It takes advantage of resilient distributed databases to provide a fault-tolerant platform well-suited to developing big data applications. Because many large companies are actively using this framework, AI developers should be familiar with the basics of implementing AI with Apache Spark and Spark ML.
In this course, you'll explore the concept of distributed computing. You'll identify the benefits of using Spark for AI Development, examining the advantages and disadvantages of using Spark over other big data AI platforms.
Next, you'll describe how to implement machine learning, deep learning, natural language processing, and computer vision using Spark. Finally, you'll use Spark ML to create a movie recommendation system commonly used by Netflix and YouTube.