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Bias Isn’t Always Bad

“Facts are stubborn things. But statistics are pliable” -Mark Twain This blog is about statistical bias in machine learning models.  But unlike most of what

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FFTs and Stupid Deep Learning Tricks

Deep Learning has nearly taken over the machine learning world — in large part due to its great success in using layers of neural networks to discover the features in underlying data that actually matter to other, higher-level layers of neural networks.

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Rich Data, Poor Data: Getting the most out of sensors

Accelerometers and vibration sensors are having their day. As prices have come down drastically, we are seeing more and more companies instrumenting all kinds of devices and equipment. Industrial, automotive and consumer products use cases are proliferating almost as fast as startups with “AI” in their names.

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It’s All About the Features

We’re an AI company, so people always ask about our algorithms. If we could get a dollar for every time we’re asked about which flavor of machine learning we use –convolutional neural nets, K-means, or whatever – we would never need another dollar of VC investment ever again.

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