课程信息
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中级

完成时间大约为13 小时

建议:4-6 hours/week...

英语(English)

字幕:英语(English)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为13 小时

建议:4-6 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 8 小时

Module 0: Get Ready & Module 1: Drowning in Data, Starving for Knowledge

This module will introduce you to the most common and important unsupervised learning technique – Clustering. You will have an understanding of different applications of clustering analysis after this module. You will also learn when we need clustering and why it is important. Then, you will be introduced to a variety of clustering methods.

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13 个视频 (总计 98 分钟), 10 个阅读材料, 4 个测验
13 个视频
Rattle Installation Guideline for MacOS11分钟
Rattle Interface for Windows9分钟
Lecture 1-1: Introduction to Clustering11分钟
Lecture 1-2: Applications of Clustering7分钟
Lecture 1-3: How to Cluster10分钟
Lecture 1-4: Introduction to K Means8分钟
Lecture 1-5: Hierarchical (Agglomerative) Clustering8分钟
Lecture 1-6: Measuring Similarity Between Clusters10分钟
Lecture 1-7: Real World Clustering Example6分钟
Lecture 1-8: Clustering Practice and Summary3分钟
10 个阅读材料
Syllabus30分钟
About the Discussion Forums10分钟
Glossary10分钟
Brand Descriptions10分钟
Update Your Profile10分钟
Module 0 Agenda10分钟
Rattle Tutorials (Interface, Windows, Mac)30分钟
Module 1 Overview20分钟
Module 1 Readings, Data Sets, and Slides1 小时 30 分
Module 1 Peer Review Assignment Answer Key10分钟
3 个练习
Orientation Quiz10分钟
Module 1 Practice Problems10分钟
Module 1 Graded Quiz30分钟
2
完成时间为 5 小时

Module 2: Decision Trees

In this module, we will discuss how to use decision trees to represent knowledge. The module concludes with a presentation of the Random Forest method that overcomes some of the limitations (such as high variance or low precision) of a single decision tree constructed from data.

...
7 个视频 (总计 65 分钟), 3 个阅读材料, 3 个测验
7 个视频
Lecture 2-4: Entropy and Decision Trees14分钟
Lecture 2-5: Classification Tree Example7分钟
Lecture 2-6: Regression Tree Example8分钟
Lecture 2-7: Introduction to Forests and Spam Filter Exercise9分钟
3 个阅读材料
Module 2 Overview20分钟
Module 2 Readings, Data Sets, and Slides30分钟
Module 2 Peer Review Assignment Answer Key10分钟
2 个练习
Module 2 Practice Problems
Module 2 Graded Quiz30分钟
3
完成时间为 5 小时

Module 3: Rules, Rules, and More Rules

This module will focus on three key topics, namely rules, nearest neighbor methods, and Bayesian methods. Over the course of this module, you will be exposed to how rules factor into the world of data and how they play a role in the analysis of data. The second and third topics focus on the classification of data.

...
8 个视频 (总计 65 分钟), 3 个阅读材料, 3 个测验
8 个视频
Lecture 3-4: Selecting the Best K in Rstudio12分钟
Lecture 3-5: Bayes' Rule7分钟
Lecture 3-6: The Naïve Bayes Trick13分钟
Lecture 3-7: Employee Attrition Example5分钟
Lecture 3-8: Employee Attrition Example in Rstudio, Exercise, and Summary9分钟
3 个阅读材料
Module 3 Overview20分钟
Module 3 Readings, Data Sets, and Slides30分钟
Module 3 Peer Review Assignment Answer Key10分钟
2 个练习
Module 3 Practice Problems10分钟
Module 3 Graded Quiz30分钟
4
完成时间为 4 小时

Module 4: Model Performance and Recommendation Systems

In this module, you will study tools for recognizing what to recommend, and identify cross-sell or upsell opportunities. As the last module of the course, we will wrap up the content so far and you will get an opportunity to practice on your own and learn how to adapt these models to drive business impact in your own organizations.

...
8 个视频 (总计 68 分钟), 3 个阅读材料, 3 个测验
8 个视频
Lecture 4-4: Clock Example Exercise2分钟
Lecture 4-5: Making Recommendations13分钟
Lecture 4-6: Association Rule Mining6分钟
Lecture 4-7: Collaborative Filtering7分钟
Lecture 4-8: Recommendation Example in Rstudio and Summary12分钟
3 个阅读材料
Module 4 Overview20分钟
Module 4 Readings, Data Sets, and Slides1小时
Module 4 Peer Review Assignment Answer Key10分钟
2 个练习
Module 4 Practice Problems10分钟
Module 4 Graded Quiz30分钟

讲师

Avatar

Sridhar Seshadri

Professor of Business Administration
Business Administration

立即开始攻读硕士学位

此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master of Business Administration (iMBA)。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

关于 伊利诺伊大学香槟分校

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