『机器学习』中心概念的可视化解说

  MLU（ Machine Learning University，机器学习大学）是亚马逊的一项教育方案，旨在教授机器学习理论和实践使用。MLU-Explain 作为方案的一部分，经过可视化这种信息丰厚且风趣的方法，讲解了机器学习的重要概念。

  不过现在触及的模型不太多，主要有机器学习基本概念（ROC AUC 穿插验证 测验/验证/测验集 准确率 召回率等等），还有简略线性回归、逻辑回归、决策树、随机森林等。

  Linear Regression Article Image (A Scatterplot showing orange points and a black line on the right. On the left math equations for The Normal Equation).

  Logistic Regression Article Image (A Scatterplot showing points for Sunny and Rainy days plotted by Temperature in degrees Fahrenheit and the predicted probability as a sigmoid curve).

  ROC & AUC Article Image (A Scatterplot showing three ROC curves: one labeled Perfect Classifier (line hugging left and top of plot), one labeled Our Classifier (bumpy line), and one labeled Random Classifier (diagonal line)).

  Train, Test, Validation Article Image (Groups of cats/dogs in circles).

  Precision Recall Article Image (Beeswarm Plot).