Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

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Apache Spark 3.0 adds Nvidia GPU support for machine learning

The next major release of the in-memory data processing framework will support GPU-accelerated functions courtesy of Nvidia RAPIDS

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How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’

Only a common public health infrastructure of AI, cloud computing, streaming, and the Internet of Things can marshal our data against pandemics

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6 Python libraries for parallel processing

Want to distribute that heavy Python workload across multiple CPUs or a compute cluster? These frameworks can make it happen

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Spell machine learning platform goes on-prem

An end-to-end machine learning platform designed for ease of use, Spell now offers incarnations for both public cloud and data center deployment

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How AIOps improves application monitoring

Devops and site reliability engineers are vital to keep applications functioning. AIOps boosts effectiveness another notch

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How to move data science into production

With new Integrated Deployment extensions, data scientists can capture entire KNIME workflows for automatic deployment to production or reuse

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Major R language update brings big changes

R 4.0.0 brings numerous and significant changes to syntax, strings, reference counting, grid units, and more

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Career roadmap: Machine learning engineer

Machine learning is one of the most in-demand skills in today’s technology job market. Kyle Hamlin, principal machine learning engineer at Sailthru, discusses what it takes to travel on that career path.

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The best free data science courses during quarantine

6 excellent online courses and one book to learn statistics, machine learning, and deep learning while you’re locked in the house

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AWS unveils open source model server for PyTorch

Intended to ease production deployments of PyTorch models, TorchServe supports multi-model serving and model versioning for A/B testing

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GPipe and PipeDream: Scaling AI training in every direction

New frameworks Google GPipe and Microsoft PipeDream join Uber Horovod in distributed training for deep learning

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PyTorch 1.5 adds C++ power, distributed training

The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once

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Checking AI bias is a job for the humans

By pre-processing or post-processing data, or even setting datasets to expire, humans can step in to correct machine learning models

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Google unveils TensorFlow tool for making mobile-ready models

TensorFlow Lite Model Maker shrinks TensorFlow models to more efficiently serve predictions on mobile devices

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Not all AIops tools are created equal

These tools can solve multicloud complexity issues, but they use very different approaches

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Is your data lake open enough? What to watch out for

Like yesterday’s data warehouses, today’s data lakes threaten to lock us into proprietary formats and systems that restrict innovation and raise costs

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Review: Amazon SageMaker plays catch-up

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds

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How AI helped Domino’s improve pizza delivery

Sharing a container environment and Nvidia GPU server has enabled Domino’s data scientists to create more complex and accurate models to improve store and delivery operations

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