Machine Learning

All about machine learning and deep learning

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Machine learning gets down to business

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Amazon Alexa is so smart it's stupid

Amazon's intelligent personal assistant has amassed more than 15,000 skills. If only we could find them

Navigating a field of uncertainty and doubt questions

Which Spark machine learning API should you use?

A brief introduction to Spark MLlib's APIs for basic statistics, classification, clustering, and collaborative filtering, and what they can do for you

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How machine learning can be a pathway to compliance

Robust data governance solutions that combine the analytic powers of data science and machine learning can help ease compliance and lead to a deeper understanding of the information. With insights derived from these solutions in hand,...


Apache Spark 2.2 gets streaming, R language boosts

The latest additions to Apache's all-in-one in-memory processing framework simplify stream processing and flesh out support for the R language

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12 'hot' technologies not living up to the hype

A dozen technologies that will disappoint you soon, if they aren't disappointing you already

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Nvidia's new TensorRT speeds machine learning predictions

Serving predictions from a GPU is also more power-efficient and delivers results with lower latency, Nvidia claims

The many (emerging) faces of machine learning

Machine learning is everywhere: across industries and affecting many aspects of daily living

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Google open-sources TensorFlow training tools

Tensor2Tensor simplifies deep-learning model training so developers can more easily create machine learning workflows

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How to tell if AI or machine learning is real

False and misleading claims abound that applications and cloud services are now smart. Here’s how to identify true artificial intelligence and machine learning

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Apple’s Core ML: The pros and cons

Apple’s impressive iOS machine learning technology teeters between its limits and its ease of adoption by developers

Core ML brings machine learning to Apple developers

Apple's Core ML frameworks provide a standardized -- if limited -- way to embed machine learning into Mac and iOS apps

What is deep learning really?

Easier, faster: The next steps for deep learning

Rapidly advancing software frameworks, dedicated silicon, Spark integrations, and higher level APIs aim to put deep learning within reach


Data in, intelligence out: Machine learning pipelines demystified

Data plus algorithms equals machine learning, but how does that all unfold? Let’s lift the lid on the way those pieces fit together, beginning to end

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AMD's game plan to become a machine learning giant

With machine learning now a major market for GPUs, AMD wants a piece of that action — and an end to Nvidia’s essential monopoly

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Google’s machine learning cloud pipeline explained

You’ll be dependent on TensorFlow to get the full advantage, but you’ll gain a true end-to-end engine for machine learning

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ActiveState's Python taps Intel MKL to speed data science and machine learning

The MKL libraries for accelerating math operations debuted in Intel's own Python distribution, but now other Pythons are following suit

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Forgot about Mahout? It’s back, and worth your attention

Mahout is a vibrant machine learning project that is now riding Spark instead of MapReduce for the algorithmically inclined

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Faster machine learning is coming to the Linux kernel

The addition of heterogenous memory management to the Linux kernel will unlock new ways to speed up GPUs, and potentially other kinds of machine learning hardware

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