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Feb 11, 2025 0
In the last part of this mini-series on forecasting with false nearest neighbors...
Feb 11, 2025 0
Nowadays, Microsoft, Google, Facebook, and OpenAI are sharing lots of state-of-t...
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How can the seemingly iterative process of weighted sampling without replacement...
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In nonlinear dynamics, when the state space is thought to be multidimensional bu...
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Deep learning need not be irreconcilable with privacy protection. Federated lear...
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A new sparklyr release is now available. This sparklyr 1.2 release features new ...
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A new release of pins is available on CRAN today. This release adds support to t...
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The term "federated learning" was coined to describe a form of distributed model...
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This blog just got a new title: RStudio AI Blog. We explain why.
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Kullback-Leibler divergence is not just used to train variational autoencoders o...
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Broadcasting, as done by Python's scientific computing library NumPy, involves d...
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TensorFlow 2.1, released last week, allows for mixed-precision training, making ...
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Differential Privacy guarantees that results of a database query are basically i...
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TensorFlow Hub is a library for the publication, discovery, and consumption of r...
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Continuing our tour of applications of TensorFlow Probability (TFP), after Bayes...
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Looking for materials to get started with deep learning from R? This post presen...
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In a Bayesian neural network, layer weights are distributions, not tensors. Usin...
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Part of the r-tensorflow ecosystem, tfprobability is an R wrapper to TensorFlow ...
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Is society ready to deal with challenges brought about by artificially-generated...
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TensorFlow 2.0 was finally released last week. As R users we have two kinds of q...
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