Machine learning Techniques in Economics

This book PDF is perfect for those who love Business & Economics genre, written by Atin Basuchoudhary and published by Springer which was released on 28 December 2017 with total hardcover pages 94. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine learning Techniques in Economics books below.

Machine learning Techniques in Economics
Author : Atin Basuchoudhary
File Size : 40,9 Mb
Publisher : Springer
Language : English
Release Date : 28 December 2017
ISBN : 9783319690148
Pages : 94 pages
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Machine learning Techniques in Economics by Atin Basuchoudhary Book PDF Summary

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.

Machine learning Techniques in Economics

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a

Get Book
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• A useful guide to financial product modeling and to minimizing business risk and uncertainty • Looks at wide range of financial assets and markets and correlates them with enterprises’ profitability • Introduces advanced and novel machine learning techniques in finance such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme

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