[Ali cloud - Machine Learning PAI Getting Started with real business] class 1- machine learning background knowledge and business architecture introduced

• What is Machine Learning?

          Machine learning refers to the machine through statistical algorithm, a large number of historical data to generate a learning experience model, using the experience of our business model.

• At present the main machine learning to play a role in some aspects of it:

1. Marketing class scene: product recommendations, user group portraits, advertising precise delivery

2. Financials scenario: loan origination forecasts, financial risk control, stock trend forecast, gold price forecasts

3. SNS relation mining: microblogging fans leader analysis, social relationships chain analysis

4. Text class scene: News Category, Keywords mention, article summaries, text content analysis

5. Unstructured data processing scene: picture classification, picture OCR text extraction

6. Other kinds of scenarios forecast: rain forecast, predicting the outcome of football matches

        Of course, the range of applications and machine learning is very extensive, not all exhaustive, there is a broader space required developers to explore.

• Machine learning algorithm classification

1. Supervised learning: logistic regression, linear regression, random forest ...... (containing the target column, there is a desired target prediction)
2. Unsupervised Learning: K-Means ...... (no target columns algorithm only feature column)
3. Semi-supervised learning: label propagation clustering ...... (only a portion of the target queue data)

• Machine learning the business system architecture  
• Recommended learning materials: "Machine learning practice", "statistical learning methods," Andrew Ng machine learning courses
• Recommended experimental environment: machine learning PAI https://data.aliyun.com/product/learn