APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNING PIPELINE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Problem formulation
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Model training
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Deployment
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Data preprocessing
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Detailed explanation-1: -Step 2: Data Cleaning Next, this data flows to the cleaning step. To make sure the data paints a consistent picture that your pipeline can learn from, Cortex automatically detects and scrubs away outliers, missing values, duplicates, and other errors.
Detailed explanation-2: -Data Preparation / Preprocessing / Augmentation The preprocessing step transforms the raw sourced data into a format that enables successful model training.
Detailed explanation-3: -Machine Learning Pipeline Architecture Each stage of a pipeline is fed with the data processed from its preceding stage, i.e., the output of a processing unit supplied as an input to the next step. It consists of four main stages as Pre-processing, Learning, Evaluation, and Prediction.