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 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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 ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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, ...
Data is rapidly simplifying, being democratized in part due to the work of open-source platform Apache Spark and its new release, Spark 2.0. Could the minds behind Spark’s data solutions make machine ...
Check out tools and projects done with the Ada and SPARK programming languages Learning a new programming language can be fun and interesting. Ada and SPARK, a version of Ada that allows static proof ...
As the most active open-source project in the big data community, Apache SparkTM has become the de-facto standard for big data processing and analytics. Spark’s ease of use, versatility, and speed has ...
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