About this document
Apache Spark in Distributed Learning by Gaurav Jena is a document available to read on EtoBox.
Distributed machine learning utilizes multiple computing resources to efficiently handle large-scale datasets and complex models. Key frameworks include Apache Spark, TensorFlow, and PyTorch, which support distributed training and data processing. The approach emphasizes scalability, fault tolerance, and effective communication among distributed components.
- Author
- Gaurav Jena
- Language
- EN