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Train, Test, and Validation Sets By Jared Wilber In most supervised machine learning tasks, best practice recommends to split your data into three independent sets: a training set, a testing set, and a validation set. To demo the reasons for splitting data in this manner, we will pretend that we have a dataset made of pets of the following two types: Cats:      Dogs: For each pet in the dataset we

MLU-EXPLAIN Visual explanations of core machine learning concepts Machine Learning University (MLU) is an education initiative from Amazon designed to teach machine learning theory and practical application. As part of that goal, MLU-Explain exists to teach important machine learning concepts through visual essays in a fun, informative, and accessible manner. Neural Networks Learn about neural net