Fundamental concepts：Explicit evidence combination with Bayes' Rule（結(jié)合貝葉斯規(guī)則的明確的證據(jù)）；Prob...
IP屬地：內(nèi)蒙古
-
9. 證據(jù)和概率
-
8. 可視化模型的表現(xiàn)Fundamental concepts：visualization of model performance under various kinds of uncertai...
-
7. 決策分析思想1：什么是一個好的模型？基礎(chǔ)概念：careful consideration of what is desired from data science results（仔細(xì)思考下想從數(shù)據(jù)分析結(jié)果中得...
-
6. 相似度、鄰居和聚類Fundamental concepts：calculating similarity of objects described by data（計(jì)算由數(shù)據(jù)描述的客體相似度）...
-
5. 過擬合及其避免Fundamental concepts：generalization（泛化、普遍化、一般化）；fitting （擬合）and overfitting（過擬合）；comple...
-
3. 預(yù)測模型的介紹：從相關(guān)性到監(jiān)督分割模型From Correlation to Supervised Segmentation 基礎(chǔ)概念：Identifying informative attributes; Se...
-
2. 商業(yè)問題和數(shù)據(jù)科學(xué)解決方案
From Business Problems to Data Mining Tasks 概念介紹：數(shù)據(jù)問題相關(guān)方 → stakeholders（股東） 數(shù)據(jù)分析可分解為多個任...