A Hands-on Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Year of publication: |
2024
|
---|---|
Authors: | Askitas, Nikos |
Publisher: |
Bonn : Institute of Labor Economics (IZA) |
Subject: | machine learning | deep learning | supervised learning | artificial neural network | perceptron | Python | keras | tensorflow | universal approximation theorem |
Series: | IZA Discussion Papers ; 17014 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1890309575 [GVK] RePEc:iza:izadps:dp17014 [RePEc] |
Classification: | C01 - Econometrics ; C87 - Econometric Software ; C00 - Mathematical and Quantitative Methods. General ; C60 - Mathematical Methods and Programming. General |
Source: |
-
A hands-on machine learning primer for social scientists : math, algorithms and code
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