原文链接:https://developers.google.com/machine-learning/crash-course/feature-crosses/ 特征组合是指两个或多个特征相乘形成 ...
原文链接:https://developers.google.com/machine-learning/crash-course/feature-crosses/ 特征组合是指两个或多个特征相乘形成 ...
原文链接:https://developers.google.com/machine-learning/crash-course/embeddings/ 嵌套是一种相对低维的空间,可以将高维矢量映射 ...
原文链接:https://developers.google.com/machine-learning/crash-course/regularization-for-sparsity/ 1- L₁ ...
原文链接:https://developers.google.com/machine-learning/crash-course/generalization 泛化是指模型很好地拟合以前未见过的新数 ...
原文链接:https://developers.google.com/machine-learning/crash-course/multi-class-neural-networks/ 多类别分类 ...
1 - MLCC 通过机器学习,可以有效地解读数据的潜在含义,甚至可以改变思考问题的方式,使用统计信息而非逻辑推理来处理问题。 Google的机器学习速成课程(MLCC,machine-learni ...
原文链接:https://developers.google.com/machine-learning/crash-course/training-and-test-sets 测试集是用于评估根据训 ...
原文链接:https://developers.google.com/machine-learning/crash-course/reducing-loss/ 为了训练模型,需要一种可降低模型损失的 ...
原文链接:https://developers.google.com/machine-learning/crash-course/classification/ 1- 指定阈值 为了将逻辑回归值映 ...