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DataRobot’s end-to-end AutoML suite not only speeds up the creation of accurate models, but can combine time series, images, geographic information, tabular data, and text in a single model.
The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.
The writing's been on the wall for awhile now. Data analytics migration to the cloud is now underway and is making on-premises data warehouses obsolete.
We’re seeing a rise in overdose deaths in the U.S. during the pandemic. Perhaps it’s time to leverage cloud technology to address this problem.
Adversarial attacks are one of the greatest threats to the integrity of the emerging AI-centric economy.
Apple says the M1-compiled version of TensorFlow delivers several times faster performance on a number of benchmarks, while running existing TensorFlow scripts as-is
AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better.
Google Cloud AI and Machine Learning Platform is missing some pieces, and much is still in beta, but its scope and quality are second to none.
Most campaigns view polling data, logistics, and demographics as fundamental to winning an election. More likely, data science and cloud computing will win the day.
.NET for Apache Spark 1.0 provides high-performance .NET APIs to Apache Spark including Spark SQL, Spark Streaming, and MLlib