As I discovered at SAP, many problems, regardless whether its in bioinformatics, genomics, biology, medicine, supplies, cars, or return on investments, can be boiled down to optimization problems, whose optimal solution can be best approximated by comparing different machine learning algorithms and optimizing their parameters. For my dissertation I optimized machine learning algorithms' parameters to minimize the error of my yeast age predictor, whereas SAP is optimizing the parameters of its machine learning algorithms to minimize the differences between predicted and actually earned profits.
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