Azure Machine Learning

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Description

在了解 feature engineering 之後,今天要帶大家了解:

如何透過 machine learning studio 既有的模組比較兩個演算法。

 

在影片的前半部會帶大家認識該資料及以及定義問題,

瞭解相關的 feature 以及實驗裡面使用到的演算法。

後半部透過 demo 帶大家理解演算法比較的細節,

以及如何比較有無 feature selection 的模型結果。

 

[01:26] Introduction

▪ Dataset

▪ Question

▪ Features

▪ Modules

[06:40] Demo

▪ Compare two algorithms

▪ Compare two algorithms with feature selection

[22:40] Recap

 

原實驗參考:

Binary Classification: Network intrusion detection
https://gallery.cortanaintelligence.com/Experiment/binary-classification-network-intrusion-detection-2

Modules:

Two-Class Logistic Regression
https://msdn.microsoft.com/en-us/library/azure/dn905994.aspx

Two-Class Boosted Decision Tree

https://msdn.microsoft.com/en-us/library/azure/dn906025.aspx

Tune Model Hyperparameters

https://msdn.microsoft.com/en-us/library/azure/dn905810.aspx

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