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domenic.me
| | datadan.io
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| | Linear regression and gradient descent are techniques that form the basis of many other, more complicated, ML/AI techniques (e.g., deep learning models). They are, thus, building blocks that all ML/AI engineers need to understand.
| | blog.scottlogic.com
4.7 parsecs away

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| | Recently I've been learning about Neural Networks and how they work. In this blog post I write a simple introduction in to some of the core concepts of a basic layered neural network.
| | matbesancon.xyz
3.9 parsecs away

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| | Learning by doing: predicting the outcome.
| | swethatanamala.github.io
11.5 parsecs away

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| The authors developed a straightforward application of the Long Short-Term Memory (LSTM) architecture which can solve English to French translation.