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Released last year in July, Apache Spark 2.0 was more than just an increase in its numerical notation from 1.x to 2.0: It was a monumental shift in ease of use, higher performance, and smarter ...

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Enterprises have a tough time gathering insights from the vast oceans of data they accumulate, but a new tool for Apache Spark is hoping to change that, by allowing them to merge machine learning ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

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, ...

Finding insight in oceans of data is one of enterprises’ most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within ...

To satisfy the increasing demand for a unified platform for big data analytics and deep learning, Intel recently released BigDL. It’s an open source, distributed, deep learning framework for Apache ...

Databricks Inc. is turning its attention to machine learning by adding support for deep learning on its cloud-based Apache Spark platform. The gist of the announcement is that Databricks is adding ...