{"product_id":"machine-learning-techniques-in-economics-new-tools-for-predicting-economic-growth-paperback","title":"Machine-Learning Techniques in Economics: New Tools for Predicting Economic Growth - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAtin Basuchoudhary\u003c\/b\u003e (Author), \u003cb\u003eJames T. Bang\u003c\/b\u003e (Author), \u003cb\u003eTinni Sen\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eOffers a guide to how machine learning techniques can improve predictive power in answering economic questions \u003cbr\u003eProvides R codes to help guide the researcher in applying machine learning techniques using the R package\u003cbr\u003e\u003cbr\u003eUses partial dependence plots to tease out non-linear effects of explanatory variables on the dependent variables\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 94\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.21 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 08, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47430855229661,"sku":"9783319690131","price":122.45,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0811\/9867\/8237\/files\/dEYrS3hsR0FURnE3SVMwMDQ2bnRMUT09.webp?v=1771321660","url":"https:\/\/handfulofbooks.com\/products\/machine-learning-techniques-in-economics-new-tools-for-predicting-economic-growth-paperback","provider":"Handful of Books","version":"1.0","type":"link"}