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 ...
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 ...
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 ...
Spark + AI Summit Returns to Amsterdam as the Largest Data and Machine Learning Conference in Europe
SAN FRANCISCO & AMSTERDAM--(BUSINESS WIRE)--Databricks, the leader in Unified Analytics and founded by the original creators of Apache Spark™, today announced that Spark + AI Summit returns to ...
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 ...
This article was originally published on ETFTrends.com. Watch a complimentary webinar below to learn more about Apache Spark’s MLlib, which makes machine learning scalable and easier with ML pipelines ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results