Azure Machine Learning

About Me郭俊廷交大電機系大三11th Microsoft Student PartnersChunTing.Kuo@studentpartner.com

What is Machine Learning ?

The goal of machine learning is to program computers to use example data or past experience to solve a given problem.

• – Introduction to Machine Learning, 2nd Edition, MIT Press

「機器學習，可藉由電腦系統分析歷史資料，來預測未來趨勢和行為。」

Visualize

Regulate the API

API

Azure Machine Learning Studio

Big Data

Publish

Client

Get Started with Azure Machine Learning Studio

https://azure.microsoft.com/zh-tw/services/machine-learning/

What we want to do today ?

Using Azure Machine Learning Studio to predict the automobile price

• Step1: Get data• Step2: Load the Datasets• Step3: Define feature• Step4: Choose and apply a learning algorithm• Step5: Train model and Score model

Outline

Step2: Load the Datasets

1. Use Sample datasets2. Upload your own datasets3. Enter data by yourself4. Use Azure SQL Database

Step4: Choose and apply a learning algorithm

• Classification: 針對已知的資料做分類• Regression: 預測一個數值• Clustering: 針對未知的資料 把性質相同的做分群• Supervised learning• Unsupervised learning• http://tjo-en.hatenablog.com/entry/2014/01/06/234155

Execute Python & R Script

Convert to CSV

Convert to Datasets

publish API

Else

More to Learn

從 Azure Machine Learning 開始進入機器學習：https://blogs.msdn.microsoft.com/msdntaiwan/2015/01/24/azure-machine-learning/ Azure Machine Learning 文件中心：https://docs.microsoft.com/zh-tw/azure/machine-learning/

Azure Machine Learning 官方部落格：https://blogs.technet.microsoft.com/machinelearning/

Welcome To Join Us

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