Machine learning Techniques in Economics is popular PDF and ePub book, written by Atin Basuchoudhary in 2017-12-28, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Machine learning Techniques in Economics can be Read Online from any device for your convenience.
Machine learning Techniques in Economics 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.
Detail Book of Machine learning Techniques in Economics PDF
- Author : Atin Basuchoudhary
- Release : 28 December 2017
- Publisher : Springer
- ISBN : 9783319690148
- Genre : Business & Economics
- Total Page : 97 pages
- Language : English
- PDF File Size : 8,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Machine learning Techniques in Economics by Atin Basuchoudhary, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.