# AI News, Machine Learning for Economists: AnIntroduction

- On Monday, June 4, 2018
- By Read More

## Machine Learning for Economists: AnIntroduction

A crash course for economists who would like to learn machine learning.

So it’s worth knowing the both, and choose the approach that suits your goals best.

Other readers may not appreciate constant references to economic analysis and should start from the next section.

tree of ML algorithms: Econometricians may check the math behind the algorithms and find it familiar.

R is a language, so you’ll need more tools to make it work: Python is the closest alternative to R.

Other applications of ML include computer vision, speech recognition, and artificial intelligence.

The advantage of ML approaches (like neural networks and random forest) over econometrics (linear and logistic regressions) is substantial in these non-economic applications.

- On Wednesday, June 20, 2018
- By Read More

## Machine Learning for Economists: AnIntroduction

A crash course for economists who would like to learn machine learning.

So it’s worth knowing the both, and choose the approach that suits your goals best.

Other readers may not appreciate constant references to economic analysis and should start from the next section.

tree of ML algorithms: Econometricians may check the math behind the algorithms and find it familiar.

R is a language, so you’ll need more tools to make it work: Python is the closest alternative to R.

Other applications of ML include computer vision, speech recognition, and artificial intelligence.

The advantage of ML approaches (like neural networks and random forest) over econometrics (linear and logistic regressions) is substantial in these non-economic applications.

- On Wednesday, June 3, 2020

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