본문 바로가기
Machine Learning

machine learning 관련 글들 1

2017. 9. 14.

https://antontarasenko.com/2015/12/28/machine-learning-for-economists-an-introduction/

계량경제학자들을 위한.  논문들도 소개.


https://www.stata.com/meeting/portugal15/abstracts/materials/portugal15_guimaraes.pdf

large data handling in Stata



http://cameron.econ.ucdavis.edu/e240f/trmachinelearningseminar.pdf

Machine Learning for Microeconometrics A. Colin Cameron Univ. of California- Davis

기존 통계학적 지식이 머신러닝의 어떤 요소인지 잘 설명해놓았다.




https://tyleransom.github.io/research/IntroMachineLearning.pdf

An Introduction to Machine Learning for Social Scientists Tyler Ransom Duke University, Social Science Research Institute March 30, 2016

간단한


http://www.nber.org/econometrics_minicourse_2015/nber_slides11.pdf

NBER Lectures on Machine Learning An Introduction to Supervised and Unsupervised Learning July 18th, 2015, Cambridge Susan Athey & Guido Imbens - Stanford University



http://www.nber.org/papers/w19035.pdf

The Data Revolution and Economic Analysis
Liran Einav, Jonathan D. Levin
NBER Working Paper No. 19035
Issued in May 2013



http://people.ischool.berkeley.edu/~hal/Papers/2013/ml.pdf

Big Data: New Tricks for Econometrics

Hal R. Varian∗ June 2013


'Machine Learning' 카테고리의 다른 글

IBM watson  (0) 2017.09.04
머신 러닝이란 무엇인가 (deep learning, machine learning, ai)  (0) 2017.07.11

댓글