Ease of Use

MLS provides a graphical interface that supports drag-and-drop operations, allowing you to easily create workflows for data modeling, analysis, prediction, and visualization.

Openness

MLS offers Notebook and supports various open source modeling languages, such as Python and more.

Abundant Algorithms

MLS provides abundant machine learning algorithms for you to import and process data, as well as train, evaluate, and export models, covering end-to-end prediction and analysis services.

One-Stop

MLS provides a series of one-stop machine learning applications covering feature engineering, machine learning algorithms, modeling, prediction, and model lifecycle management.

Application Scenarios

  • Product Recommendation

  • Customer Grouping

  • Anomaly Detection

  • Predictive Maintenance

Product Recommendation

Product Recommendation

MLS recommends personalized services to customers according to their attributes and behavior features, such as age, gender, work type, marital status, education background, and financial status.

Related Information

  • Recommended Algorithms

    Random Decision Forest Classification (RDFC) and Gradient Boosted Tree Classification (GBTC)

  • Scenarios

    Wealth management recommendation and vehicle price prediction

Related Services

MRS

OBS

IAM

VPC

DLI

Customer Grouping

Customer Grouping

You can scientifically group customers by data mining and formulate strategies based on customer group characteristics to provide appropriate products and develop target marketing activities, thereby achieving commercial benefits.

Related Information

  • Recommended Algorithms

    K-Means

  • Scenarios

    Retailers' customer grouping

Related Services

MRS

OBS

IAM

VPC

DLI

Anomaly Detection

Anomaly Detection

You can use an automatic network detection system to predict suspicious traffic or faulty devices according to real-time traffic analysis.

Related Information

  • Recommended Algorithms

    PCA-Based Anomaly Detection and Isolation Forest (IF)

  • Scenarios

    Network intrusion detection

Related Services

MRS

OBS

IAM

VPC

DLI

Predictive Maintenance

Predictive Maintenance

You can create a prediction model for devices and provide preventive maintenance suggestions and plans to shorten downtime and reduce the probability of faults, thereby improving efficiency and reducing costs.

Related Information

  • Recommended Algorithms

    Logistic Regression (LR) and Gradient Boosted Tree Regression (GBTR)

  • Scenarios

    Automobile manufacturing and maintenance

Related Services

MRS

OBS

IAM

VPC

DLI

Functions

Drag-and-Drop Workflow

MLS provides various nodes that facilitate drag-and-drop creation of modeling workflows.

  • Drag-and-drop workflow creation

    Simplified and visualized modeling process design allows you to create service analysis and modeling processes without programming.

  • Quick response

    MLS leverages visualization to achieve fast iteration and convergence so that models can be rapidly deployed in offline production environments.

Visualization

Data and model visualization functions allow data and machine learning models to be visualized in real time.

  • Data visualization

    Data exploration and analysis results can be visualized in various graphs, improving data exploration efficiency.

  • Model visualization

    Trained models and evaluation results are visualized so that they are easy to understand.

Notebook

MLS provides Notebook that is compatible with third-party development packages and enables data visualization.

  • Notebook framework

    The Notebook framework serves as a browser and a unified entry point for data analysis. It can be decoupled from the computing framework of the underlying big data platform and is compatible with open source Python libraries.

  • Powerful data analysis capabilities

    The data analysis process covers data exploration, feature engineering, data modeling, and data visualization.

Model Lifecycle Management

MLS supports model lifecycle management covering construction, prediction, deployment, and scheduling.

  • Visualized model lifecycle management

    Models of a service are managed according to version. You can manage model and service lifecycles on a visualized management interface.

  • Industry model standards

    Industry-standard PMML files can be imported and exported to be seamlessly integrated with other machine learning software.

Preset Machine Learning Algorithms

Numerous preset algorithms help you import and process data, as well as train, evaluate, and export models, covering end-to-end prediction and analysis services.

  • Distributed machine learning algorithm library

    Large-scale distributed computing increases computing efficiency, allowing models to be trained on larger data sets to increase the accuracy of results.

  • Automatic data exploration and parameter tuning

    Data exploration extracts data types and statistics from raw data. Parameters are automatically tuned for logistic regression and linear regression.

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