Practical Skills

These groups of post are by the phrases in a ML project

Go through this before starting a new project !!!

Procedure of a New ML Project

Data collection & analysis:

Annotation

Dimensionality Reduction

System design:

Ensemble Model

MLOps

Data preprocess & Feature engineer:

Stratified sampling

Model building:

Tuning & optimization

Evaluation:

Metrics

Deployment:

Onnx

Compile model against target hardware

Monitoring:

Subsequent phrase(e.g. retraining):

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Others:

Few-shot object detection

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