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Machine Learning

Machine Learning

Documentation
Using the Documentation
Concepts
- Basics of the Beam model
- How Beam executes a pipeline
Beam programming guide
- Overview
- Pipelines
- PCollections
  - Creating a PCollection
  - PCollection characteristics
- Transforms
  - Applying transforms
  - Core Beam transforms
  - Requirements for user code
  - Side inputs
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  - Composite transforms
- Pipeline I/O
  - Using I/O transforms
  - I/O connectors
  - I/O connector guides
  - Developing new I/O connectors
  - Testing I/O transforms
- Schemas
- Data encoding and type safety
- Windowing
- Triggers
- Metrics
- State and Timers
- Splittable DoFns
- Multi-language Pipelines
- Batched DoFns
- Transform service
Pipeline development lifecycle
Common pipeline patterns
AI/ML pipelines
- Get started with AI/ML
- About Beam ML
- Prediction and inference
- Data processing
  - Preprocess data
  - Explore your data
- Workflow orchestration
  - Use ML-OPS workflow orchestrators
- Model training
- Use cases
  - Build an anomaly detection pipeline
- Reference
  - RunInference metrics
  - Model validation
Runtime systems
Transform catalog
- Python
  - Overview
  - Element-wise
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    - Map
    - MLTransform
    - ParDo
    - Partition
    - Regex
    - Reify
    - RunInference
    - ToString
    - Values
    - WithTimestamps
  - Aggregation
  - Other
- Java
  - Overview
  - Element-wise
  - Aggregation
  - Other
Glossary
Beam Wiki

Examples
Related transforms

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Examples

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Last updated on 2025/01/19

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