Particle physics in the LHC era / by Barr, G. (Giles), Devenish, Robin, Walczak, R. (Roman), Weidberg, T. (Tony), Oxford Scholarship Online

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Automated machine learning for business / by Larsen, Kai R., Becker, Daniel S., Oxford Scholarship Online

Table of Contents: “…-- Automating machine learning -- Specify business problem -- Acquire subject matter expertise -- Define prediction target -- Decide on unit of analysis -- Success, risk, and continuation -- Accessing and storing data -- Data integration -- Data transformations -- Summarization -- Data reduction and splitting -- Startup processes -- Feature understanding and selection -- Build candidate models -- Understanding the process -- Evaluate model performance -- Comparing model pairs -- Interpret model -- Communicate model insights -- Set up prediction system -- Document modeling process for reproducibility -- Create model monitoring and maintenance plan -- Seven types of target leakage in machine learning and an exercise -- Time-aware modeling -- Time-series modeling.…”
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