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andrewpwheeler.com | ||
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marcobonzanini.com
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| | | | | Feature Scaling, also known as Data Normalisation, is a data preprocessing technique used in Machine Learning to normalise the range of predictor variables (i.e. independent variables, or features). This is done to ensure that all the input variables have values on a normalised range. Since ranges of values can be widely different, and many Machine... | |
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www.analyticsvidhya.com
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| | | | | Outlier is an object that deviates significantly from the rest of the object collection. Learn about how to deal with outliers | |
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neptune.ai
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| | | | | Industry expert shares strategies for improving the performance of ML/DL systems, covering optimization, model selection, and data handling. | |
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www.jeremymorgan.com
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| | | Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. | ||
