原文鏈接:https://developers.google.com/machine-learning/crash-course/feature-crosses/ 特征組合是指兩個或多個特征相乘形成 ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/feature-crosses/ 特征組合是指兩個或多個特征相乘形成 ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/embeddings/ 嵌套是一種相對低維的空間,可以將高維矢量映射 ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/regularization-for-sparsity/ 1- L₁ ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/generalization 泛化是指模型很好地擬合以前未見過的新數 ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/multi-class-neural-networks/ 多類別分類 ...
1 - MLCC 通過機器學習,可以有效地解讀數據的潛在含義,甚至可以改變思考問題的方式,使用統計信息而非邏輯推理來處理問題。 Google的機器學習速成課程(MLCC,machine-learni ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/training-and-test-sets 測試集是用於評估根據訓 ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/reducing-loss/ 為了訓練模型,需要一種可降低模型損失的 ...
原文鏈接:https://developers.google.com/machine-learning/crash-course/classification/ 1- 指定閾值 為了將邏輯回歸值映 ...