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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 ...

Paraphrasing Garrison Keillor, it's been a quiet week in the Apache Spark community - at least compared to last year, where the definitive Spark 2.0 was unveiled. Last week, Spark Summit pulled into ...

The AMPLab this week announced the release of KeystoneML, a framework for building and deploying large-scale machine-learning pipelines within Apache Spark. While the software is still in alpha stage, ...

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 ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

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 ...

New York City's historical buildings, businesses and sensibilities - some of them decades old - have been under siege for the past few years. One of the latest victims is the historic Waldorf Astoria ...

NEW YORK & TORONTO--(BUSINESS WIRE)--Boosted.ai, the leading distributed machine learning platform for global investment professionals, today announced the closing of a $35 million USD Series B ...