Machine Learning

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Why enterprises are turning from TensorFlow to PyTorch

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.

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Review: DataRobot aces automated machine learning

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

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On-premises data warehouses are dead

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.

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Weaponizing the cloud to fight addiction

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.

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Anti-adversarial machine learning defenses start to take root

Adversarial attacks are one of the greatest threats to the integrity of the emerging AI-centric economy.

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Apple releases TensorFlow fork with speedups for M1 Macs

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

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Today’s data science roles won’t exist in 10 years

AutoML is poised to turn developers into data scientists — and vice versa. Here’s how AutoML will radically change data science for the better.

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Review: Google Cloud AI lights up machine learning

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.

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The cloud’s role in elections grows more significant

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.

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Microsoft brings .NET dev to Apache Spark

.NET for Apache Spark 1.0 provides high-performance .NET APIs to Apache Spark including Spark SQL, Spark Streaming, and MLlib

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Nvidia pushes into a wider application ecosystem

The BlueField DPU architecture and DOCA SDK provide a strategic platform for expanding the company's reach.

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Build custom models with Azure Machine Learning Designer

Now anyone can be a model designer with assistive tooling and a new automated ML development service. All you need is data.

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Microsoft’s innovative new tools for the ‘new normal’

Support for social distancing, remote collaboration, immersive reality, and biosensing are top announcements at Ignite 2020

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Where to find free and open data sets on the web

From government, health, and finance data to weather, baseball, and Star Trek, countless collections of free data are available to scratch almost your analytical itch

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When AIops tools outsmart you

AIops is leading us to the operational promised land for cloud computing, but we have to be smart enough to know how to follow

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14 open source tools to make the most of machine learning

Tap the predictive power of machine learning with these diverse, easy-to-implement libraries and frameworks

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10 MLops platforms to manage the machine learning lifecycle

Machine learning lifecycle management systems rank and track your experiments over time, and sometimes integrate with deployment and monitoring

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How Nvidia’s Arm acquisition will drive AI to every edge

Filling a gap in their offerings, Nvidia hopes to gain money and market share with Arm's extensive reach

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