Feb 5 · 12 min read · From Scattered Data to Clear Supplier Decisions Managing suppliers is rarely as simple as it looks on paper. For many organizations, supplier data lives across spreadsheets, emails, shared drives, and disconnected systems. Performance reviews are man...
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Jan 19 · 1 min read · This text sheds new light on the causes of financial crises, tracing their origins to a sharp decline in consumption among highly leveraged mortgage debtors. As household net worth declines, the high marginal propensity to consume causes their spendi...
Join discussionApr 11, 2025 · 1 min read · 單一決策樹 $$分割M-1次，得到M個節點R_m，反應變數可為有K個水準的分類變數或連續變數$$節點不純度(Impurity) Classification error rate $$\begin{aligned} E_m &= \frac{\text{# misclassified}}{\text{# samples in } R_m} \\ &= 1 - \max_k(\hat{p_{mk}}) \\ \text{(因為最大機率對應的 } &k \text{ 就是 } \hat{Y}_m\t...
Join discussionApr 4, 2025 · 2 min read · 弱平穩(Weak Stationary) $$\begin{aligned} \operatorname{E}(y_t)&=C \\ \operatorname{Cov}(y_t,y_s)&=R(t,s) \\ \operatorname{Var}(y_t)&=\operatorname{Cov}(y_t,y_t)=\sigma_y^2 \\\\ \rho_k&=\operatorname{Corr}(y_t,y_{t-k})=\frac{\operatorname{Cov}(y_t,y_{t-...
Join discussionMar 29, 2025 · 3 min read · 模型假設 Linear Exponential Family $$f(y;\mu,\theta)=\operatorname{exp}(\frac{y\theta-b(\theta)}{\phi}-S(y,\phi))$$$$\begin{array}{c|c|c|c|c} & \text{Bin}(n,\pi) \text{ (known } n\text{)} & N(\mu,\sigma^2) & \text{Poisson}(\lambda) & \text{Exp}(\lambda) ...
Join discussionMar 15, 2025 · 3 min read · 符號定義 $$\begin{aligned} {S_{xx}} &:=\sum(x_i-\bar{x})^2 \\ {S_{xy}} &:=\sum(x_i-\bar{x})(y_i-\bar{y}) \\ \operatorname{SST} &=\operatorname{TSS}=\sum\limits_{i=1}^n (y_i-\bar{y})^2 \\ \operatorname{SSR} &=\operatorname{RegSS}=\sum\limits_{i=1}^n (\hat...
Join discussionJun 14, 2020 · 1 min read · In today’s video we’ll talk about SDDC to SDDC communication with HCX and SRM. I also touch on connecting multiple SDDCs to a single AWS Connected VPC. If you find the information below valuable make sure to hit that LIKE button and consider subscrib...
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