Fundamentals of Quantitative Modeling

Fundamentals of Quantitative Modeling

课程
en
英语
Subtitles available
4 时
此内容评级为 0/5
来源
  • 来自www.coursera.org
状况
  • 自定进度
  • 免费获取
  • 收费证书
更多信息
  • 4 序列
  • 等级 介绍
  • 字幕在 Russian

他们的员工每天都在学习Edflex

  • Safran
  • Air France
  • TotalEnergies
  • Generali
Learn more

课程详情

教学大纲

  • Week 1 - Module 1: Introduction to Models
    In this module, you will learn how to define a model, and how models are commonly used. You’ll examine the central steps in the modeling process, the four key mathematical functions used in models, and the essential vocabulary used to describe models. By the e...
  • Week 2 - Module 2: Linear Models and Optimization
    This module introduces linear models, the building block for almost all modeling. Through close examination of the common uses together with examples of linear models, you’ll learn how to apply linear models, including cost functions and production functions t...
  • Week 3 - Module 3: Probabilistic Models
    This module explains probabilistic models, which are ways of capturing risk in process. You’ll need to use probabilistic models when you don’t know all of your inputs. You’ll examine how probabilistic models incorporate uncertainty, and how that uncertainty co...
  • Week 4 - Module 4: Regression Models
    This module explores regression models, which allow you to start with data and discover an underlying process. Regression models are the key tools in predictive analytics, and are also used when you have to incorporate uncertainty explicitly in the underlying ...

先决条件

没有。

讲师

Richard Waterman
Professor of Statistics
Statistics-Wharton School

编辑

宾夕法尼亚大学(俗称宾大)成立于 1740 年,是一所位于美国宾夕法尼亚州费城的私立大学。作为常春藤联盟的成员,宾大是美国第四古老的高等学府,也是美国第一所同时提供本科和研究生学位的大学。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

此内容评级为 4.5/5
(没有评论)
此内容评级为 4.5/5
(没有评论)
完成这个资源,写一篇评论