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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/regression-and-classification
课程评论：没有评论
课程名称：回归与分类 课程概述：本课程将介绍统计学习的基本概念，探索何时使用特定模型、如何调整这些模型，以及不同选项之间的权衡。我们将涵盖回归、分类、树模型、重采样、无监督技术等多种内容。该课程可以作为科罗拉多大学博尔德分校数据科学硕士（MS-DS）学位的学分课程，在Coursera平台上提供。MS-DS学位是一个跨学科的项目，由应用数学、计算机科学、信息科学等部门的教师共同授课。该项目采用基于表现的招生方式，无需申请过程，适合拥有广泛本科教育背景和/或计算机科学、信息科学、数学及统计学专业经历的个人。欲了解更多信息，请访问 https://www.coursera.org/degrees/master-of-science-data-science-boulder。 课程大纲： 第1部分：统计学习简介 描述：介绍统计学习的总体和基础概念。 第2部分：准确性 描述：探索在不同情况下评估模型的方法。我们如何定义给定数据的“最佳”模型？ 第3部分：简单线性回归 描述：介绍简单线性回归的运用时机和方法。 第4部分：多重线性回归 描述：深入探讨多重线性回归，这是一种强大且极为常用的连续目标技术。 第5部分：分类概述 描述：无 第6部分：分类模型 描述：无
Part: 1
Title:Statistical Learning Introduction
Description:Introduction to overarching and foundational concepts in Statistical Learning.
Part: 2
Title:Accuracy
Description:Exploration into assessing models in different situations. How do we define a "best" model for given data?
Part: 3
Title:Simple Linear Regression
Description:Introduction to Simple Linear Regression, such as when and how to use it.
Part: 4
Title:Multiple Linear Regression
Description:A deep dive into multiple linear regression, a strong and extremely popular technique for a continuous target.
Part: 5
Title:Classification Overview
Description:
Part: 6
Title:Classification Models
Description:
Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Photo by Nicholas Cappello on Unsplash
