Sansone (OBES, 2018) uses ML to predict high school dropout. He uses economic theory to guide the calibration of the ML algorithms.

The course will cover leading machine learning (supervised and unsupervised) methods, with an emphasis on the challenges and opportunities of integrating these ...

Machine learning is increasingly being utilized in economic research. Here, we discuss three main ways that economists are currently using machine learning ...

We aim to showcase the benefits of using ML in economics research and policy analysis and offer suggestions on where, when and how to effectively apply ML ...

6 окт. 2024 г. · ML helps identify potential economic threats by analyzing trends, enabling proactive risk mitigation strategies.

"Machine Learning" methods are becoming mainstream tools for applied economic forecasting and for causal inference and policy evaluation.

First we discuss the differences in goals, methods and settings between the ML literature and the traditional econometrics and statistics literatures. Then we ...

1 авг. 2024 г. · This review introduces deep neural networks, covering methods such as classifiers, regression models, generative AI, and embedding models.

Продолжительность: 33:20
Опубликовано: 3 авг. 2021 г.

ML has much to contribute to economics with its insights on supervised and active learning, considerations of non-traditional data types, and adaptive decision- ...