From the course: Choosing the Right ML Approach for Your Business Case with ISO/IEC 25053:2022

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Modeling, verification, and validation (Clauses 8.5-8.6)

Modeling, verification, and validation (Clauses 8.5-8.6)

From the course: Choosing the Right ML Approach for Your Business Case with ISO/IEC 25053:2022

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Modeling, verification, and validation (Clauses 8.5-8.6)

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- When you select a new vehicle to purchase, the value and cost can vary widely, depending on the features, like all-terrain drive, heated and cooling seats and steering wheels. Selected features can affect the vehicle's performance and behavior. In this video, we will discuss the modeling feature selection and engineering, along with the verification and validation of an AI system. Feature engineering is imperative to constrain and shape the model behavior. Feature engineering is the process of transforming raw data into meaningful features that improve the performance and interpretability of machine learning models. Some of the steps we take in the data preparation phase are part of what happens in feature engineering or are precursors to feature engineering. It involves selecting, modifying, and creating new features based on domain knowledge, data understanding, and problem requirements. Practical feature engineering can significantly boost model accuracy and reduce training time,…

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