Machine Learning

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6 ways to make machine learning fail

When learning, machine learning will make mistakes. Adopters need to anticipate that—and be careful not to make matters worse through human mistakes by IT and business

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Microsoft open-sources Infer.Net machine learning

The technology will become part of the ML.Net framework for statistical modeling and online learning

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Microsoft smartens up the ML.Net machine learning API

Microsoft’s TensorFlow-compatible machine learning framework debuts a reworked API for more flexible pipelines and improved prediction performance

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The future is cloudy, with a chance of success

True cloud computing metaphors: not every cloud is a rain cloud, and too much rain is disastrous for the unprepared

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Will artificial intelligence affect how much you pay for basic goods and services?

AI has the potential to make most of our everyday goods and services cheap—or even free—in as little as a decade

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Could gamification get workers to actually use AI?

Artificial intelligence has become more common in our personal lives, but what about in the workplace?

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Machine learning: How to go from theory to reality

A lack of skilled people continues to stymie the AI revolution. That’s why smart companies invest as much in cultural change as technology adoption—and Google shows how

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PyTorch 1.0 accelerates Python machine learning with native code

The PyTorch 1.0 release candidate introduces Torch Script, a Python subset that can be JIT-compiled into C++ or other high-speed code

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The best open source software for machine learning

InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning

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Bossies 2018: The Best of Open Source Software Awards

InfoWorld recognizes the leading open source projects for software development, cloud computing, big data, and machine learning

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Azure’s new machine learning features embrace Python

New tools for Azure ML include integration with Python environments and self-tuning training for machine learning models

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How to use Azure ML in Windows 10

With local machine learning support, there’s no need to worry about shipping data to cloud services, especially where bandwidth or data protection can be an issue

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How to solve AI’s reproducibility crisis

Society will never fully trust artificial intelligence’s actions unless they can be shown to produce reasonably repeatable results in line with what their developers claim

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Review: Keras sails through deep learning

Keras sequential models make deep neural network modeling about as simple as it can be

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Microsoft’s ML.Net framework adds TensorFlow scoring

This capability enables use of an existing model from Google’s TensorFlow deep learning and machine learning toolkit

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LinkedIn open-sources a tool to run TensorFlow on Hadoop

The Tony project uses Hadoop's native scheduler to run TensorFlow jobs, making fault tolerance and GPU usage easier

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TensorFlow.js puts machine learning in the browser

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API

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10 machine learning APIs developers will love

Tap the readymade machine learning models behind these cloud-based APIs to add a stroke of genius to your app

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