ML pipelines and orchestration

A ML model orchestration is a logical flow of multiple steps required to produce a machine learning model. In the process of building a machine learning model, it includes multiple steps as discussed in previous sections. In addition to these, the orchestration often entails some preprocessing of the datasets and also leveraging a combination of techniques for producing a model based on the domain and use cases. In such situations, it is good practice to create a logical flow of steps that can be orchestrated to produce a model. The first step is always to analyze a variety of datasets during which multiple types of transformations and extractions will be executed, which is referred to as feature engineering. ...

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