Why synthetic data cannot boost machine learning (Ep. 120)

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This episode is supported by Women in Tech by Manning Conferences

One Reply to “Why synthetic data cannot boost machine learning (Ep. 120)”

  1. Karlheinz Kratz

    great podcast, thank you. Francesco.

    I understood that the properties of the different models /algorithms had to be taken into account (which is always true i think).
    Additionally I think the data generation process is also important when your generated data from prob distributions that might come close to the real process , Your model results could get mixed up with effects that stem from the quality of synthetically fitted data in comparison to the real data.

    best regards

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