AI News, Machine Learning for Economists: AnIntroduction

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.

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.

Machine Learning Meets Economics: Using Theory, Data, and Experiments to Design Markets

Economists often build "structural models," where they specify a specific model of individual behavior and then use data to estimate the parameters of the model.

Time Series Forecasting Theory | AR, MA, ARMA, ARIMA | Data Science

In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to ...

Game Theory: The Science of Decision-Making

With up to ten years in prison at stake, will Wanda rat Fred out? Game theory is looking at human interactions through the lens of mathematics. Hosted by: Hank ...

Jeffrey Yau | Applied Time Series Econometrics in Python and R

PyData SF 2016 Time series data is ubitious, and time series statistical models should be included in any data scientists' toolkit. This tutorial covers the ...

Machine Learning: Inference for High-Dimensional Regression

At the Becker Friedman Institute's machine learning conference, Larry Wasserman of Carnegie Mellon University discusses the differences between machine ...

Introduction to Bayesian Econometrics

A very simple example to illustrate the mechanics of Bayesian Econometrics. The datafile and the MATLAB code are available from: ...

8. Time Series Analysis I

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: Instructor: Peter ..

A Random Walk - introduction and properties

This video provides an introduction to Random Walk processes, and we start to derive the properties of such processes. This video provides a methodology for ...

13. Regression

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: Instructor: Philippe Rigollet In this lecture, Prof. Rigollet ..