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Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.
Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. This includes familiarity with programming languages such as Python, R, and relevant frameworks like TensorFlow and PyTorch.
These are a class of models that encapsulate proprietary algorithms and subject matter domain expertise that CCC has honed over the years. These models should be able to ingest new layers of nuanced data and customer rules to create single prediction outcomes. Daniel Suarez is a DataScienceEngineer at CCC Intelligent Solutions.
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