Machine Learning for Econometrics and Related Topics

Machine Learning for Econometrics and Related Topics
Author: Vladik Kreinovich
Publisher: Springer Nature
Total Pages: 491
Release:
Genre:
ISBN: 3031436016


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Machine Learning for Econometrics and Related Topics
Language: en
Pages: 491
Authors: Vladik Kreinovich
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

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Selected Topics in Applied Econometrics
Language: en
Pages: 0
Authors: Ebru Çağlayan Akay
Categories: Econometrics
Type: BOOK - Published: 2019 - Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften

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The book aims to bring together studies using different data types (panel data, cross-sectional data and time series data) and different methods (e.g., panel re
Econometrics with Machine Learning
Language: en
Pages: 385
Authors: Felix Chan
Categories: Business & Economics
Type: BOOK - Published: 2022-09-07 - Publisher: Springer Nature

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This book helps and promotes the use of machine learning tools and techniques in econometrics and explains how machine learning can enhance and expand the econo
Econometrics and Data Science
Language: en
Pages: 228
Authors: Tshepo Chris Nokeri
Categories: Mathematics
Type: BOOK - Published: 2021-10-27 - Publisher: Apress

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Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science. Author Tshepo
Deep Learning and the Game of Go
Language: en
Pages: 611
Authors: Kevin Ferguson
Categories: Computers
Type: BOOK - Published: 2019-01-06 - Publisher: Simon and Schuster

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Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After expos