NYU-Bloomberg-Machine-Learning
所属分类：人工智能/神经网络/深度学习
开发工具：TeX
文件大小：432KB
下载次数：0
上传日期：2019-07-23 12:38:41
上 传 者：
sh-1993
说明： 纽约大学彭博资讯机器学习，由彭博资讯首席技术官办公室David S.Rosenberg提供。这门课程也是最经典的机器学习
(NYU-Bloomberg-Machine-Learning,Delivered by David S. Rosenberg, Office of the CTO at Bloomberg. This course is also the most classical machine learning)
文件列表:
01-Statistical-Learning-Theory.pdf (103197, 2019-07-23)
02-Gradient-and-Stochastic-Gradient-Descent.pdf (96502, 2019-07-23)
03-Excess-Risk-Decomposition.pdf (110083, 2019-07-23)
latex-demo (0, 2019-07-23)
latex-demo\paper.aux (609, 2019-07-23)
latex-demo\paper.log (61218, 2019-07-23)
latex-demo\paper.pdf (103207, 2019-07-23)
latex-demo\paper.synctex.gz (25320, 2019-07-23)
latex-demo\paper.tex (10784, 2019-07-23)
# NYU-Bloomberg-Machine-Learning
Delivered by David S. Rosenberg, Office of the CTO at Bloomberg. This course is also the most classical machine learning course in NYU, whose name is DS-GA 1003 / CSCI-GA 2567. This repository contains notes by Latex and homework codes.
## Leture 1: Statistical Learning Theory
## Lecture 2: Gradient and Stochastic Gradient Descent
## Lecture 3: Excess Risk Decomposition
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