feature selection overfitting

Feature selection

Feature selection is a machine learning technique used to choose the most useful input variables from an original dataset. The goal is not to create new variables, but to keep ...

Feature selection is a machine learning technique used to choose the most useful input variables from an original dataset. The goal is not to create new variables, but to keep Read article →

Overfitting

Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but ...

Overfitting is a situation where a machine learning model learns the training data too closely and performs poorly on new data. The model may look very accurate during training, but Read article →

Who am I?

Hi, my name is Michal Krčmář. I am digital entrepreneur currently based in Prague (Czechia). I’ve been working on websites and delivering online marketing campaigns as a commercially-focused freelancer since 2006 for big prestigious brands, worked in-house for many years as consultant, manager or director and run several own startups. I founded/co-founded several companies with annual turnaround around 10+ mio USD. When I am not actually working on my business I try to constantly pass on my broad experience through seminars and online training, I also organize company trainings and workshops.

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