InfoWorld

Why you should use Spark for machine learning

As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations, and ...
InfoWorld

Review: Spark lights up machine learning

As I wrote in March of this year, the Databricks service is an excellent product for data scientists. It has a full assortment of ingestion, feature selection, model building, and evaluation functions ...
InfoQ

Big Data Processing with Apache Spark - Part 4: Spark Machine Learning

This article describes the journey of the migration towards a Federated GraphQL architecture. Specifically, it shows the GraphQL platform Netflix has built consisting of the Domain Graph Services ...
Semiconductor Engineering

Spark On AWS Graviton2 Best Practices: K-Means Clustering Case Study

This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...
ZDNet

Apache Spark creators set out to standardize distributed machine learning training, execution, and deployment

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...