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The best parameter choosing of DoE under specific constrains

DoE 模型在特定情况下的最优参数选择

The best parameter choosing of DoE under specific constrains. Problem statement Given factors \(\{x_i\}_{i=1}^n\) and response \(\{y_j\}_{j=1}^s\), then we use given dataset to get a serise of mo...

Research on DoE model

DoE 模型的研究

Idea of enhancement of DoE model DoE derivation Preset Given \(n\) factors \(X_k\) and a response \(\widetilde{Y}\), where \(X_k\) satisfy DoE layout. First of all, we transform \(X_k\) to \(\...

Quantile @ Julia

使用Julia计算分位数

Quantile in Julia In Statistics field, when we do the hypothesis testing, we have to get the quantile of a specific distribution so we go to find its value in the table. This method is out of date...

Julia with Jupyter

在Jupyter中使用Julia

Julia with Jupyter Use Julia in Jupyter Lab What do we need Jupyter Lab IJulia I think the reader should have the experience about using Jupyter Notebook or Lab, so I won’t introd...

Wolfram with Jupyter

在Jupyter中使用Wolfram

Wolfram with Jupyter Use Mathematica in Jupyter Lab What do we need Jupyter Lab Wolfram Engine Wolfram Kernel I think the reader should have the experience about using Jupyter N...

Implement an ANN by yourself

Implement an ANN without framework


Regularization

ML Learning Note-3

Regularization Overfitting First of all, let us begin from the Schematic diagram Overfitting: the learned hypothesis may fit the training set very well, but fail to generalize to test set...

Logistic Regression Classification

ML Learning Note-2

Logistic Regression Classification ML Learning Note-2 Logistic Regression Model Overview Logistic Regression Model is a Classification ML Technique which use regression method to solve th...

Jupyter + Octave = Simple Free Matlab

Jupyter + Octave = 简单免费的Matlab

Jupyter + Octave = Simple Free Matlab As we known, Matlab is a powerful Matrix computation program language with specific intergrated development environment. However Matlab is commercial software ...

Linear Regression with Multiple Variables

ML Learning Note-1

Linear Regression with Multiple Variables ML Learning Note-1 The basis of Linear Model Overview Section Techique Expression Hypothesis Fun...