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Tag: Machine Learning

PyTorch 1.10 lands with new SDK to simplify moving from research to production

Facebook-driven machine learning framework PyTorch has made it past the 1.10 mark and now comes packed with 3400 […]

CUDA Python, here we come: Nvidia offers Python devs the gift of GPU acceleration

Nvidia’s CUDA team has released version 11.5 of its parallel computing platform and pushed a Python-flavoured subproject forward […]

Pump it up: Apache Spark 3.2 completes ANSI SQL mode, makes adaptive query execution new normal

Data analytics platform Apache Spark has recently been made available in version 3.2, featuring enhancements to improve performance […]

Break point: Selenium, Ray, TriggerMesh, Ambassador, and Falco

Browser automation tool Selenium has reached its fourth major release this week. Popular amongst web site testers, the […]

Kubeflow 1.4 cuts down on duplicates, gets automating processes

The planned release date of September 27th came and went, but after some last minute adjustments, machine learning […]

Break point: Quarkus, Pins, Kong Gateway, Artifact Hub, ClusterAPI, OSS Port, and Tanzu

Kubernetes native Java stack Quarkus 2.3 has been pushed into the open this week. The update comes with […]

Getting machine learning into production is hard — the MCubed webcast is here for support

The MCubed webcast returns this week to tackle a whole other beast: Continuous Delivery for Machine Learning. Join […]

Scikit-learn celebrates the big 1.0 with keyword arguments and online one-class SVMs

After a good 14 years of development, the team behind scikit-learn has released version 1.0 of the Python […]

Fraud detection à la Benford: MCubed webcast series for ML devs premiers this week

This Thursday: Join us for a series of practitioner-led webcasts on all things software development and machine learning, […]

Break point: Epsagon, Artifact Hub, Tesseract, Cloudera, OpenSpiel, Keda, and GitHub

Cisco has announced plans to acquire distributed tracing company Epsagon, in a bid to accelerate its comprehensive observability […]