feature engineering papangkorn inkeaw ph d overview of feature engineering chapter 1 machine learning workflow enrich data standardize data handle missing data convert data format and outliers feature extraction hyperparameters ...
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...Feature engineering papangkorn inkeaw ph d overview of chapter machine learning workflow enrich data standardize handle missing convert format and outliers extraction hyperparameters evaluate collect raw cleansing scaling tuning performance model packaging from sources structuring selection train serving acquisition preperation training evaluation deployment transformation trained approvedmodel cleansed applications test example ai for identifying plant species leaf photo pipeline collection photos with their many combine several file organize structure rgb images to binary reduce noise resize have the same size extract region interest roi features separate datasets built a classifier using dataset classification develop an application identifing this was adapted kaur surleen prabhpreet identification based on computer vision techniques journal multimedia information system jmis...