Azure machine-learning
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Transcript of Azure machine-learning
Azure Machine Learning
About Me郭俊廷交大電機系大三11th Microsoft Student [email protected]
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
三月限定說明會傳送門: https://aka.ms/microself03四月限定說明會傳送門: https://aka.ms/microself04MSP 粉專 : https://www.facebook.com/MSPTaiwan/?fref=ts
Microsoft Student Partners 12th