Remove 2010 Remove Cost-Benefit Remove Interactive Remove Predictive Modeling
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Structural Evolutions in Data

O'Reilly on Data

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” Hadoop’s value—being able to crunch large datasets—often paled in comparison to its costs. ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

In the context of prediction problems, another benefit is that the models produce an estimate of the uncertainty in their predictions: the predictive posterior distribution. These predictive posterior distributions have many uses such as in multi-armed bandit problems. hi-fly-airlines 123.com 1 1 1 1.10