Machine Learning for Data Science and Analytics

开始时间: 04/22/2022 持续时间: 5 weeks

所在平台: EdxArchive 课程类别: 其他类别 大学或机构: ColumbiaX 授课老师： Peter Orbanz David Blei Mihalis Yannakakis Itsik Peer Ansaf Salleb-Aouissi Cliff Stein

课程主页: https://www.edx.org/archive/machine-learning-data-science-analytics-columbiax-ds102x

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课程详情

Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.

This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

This is the second course in the three-part Data Science and Analytics XSeries.

课程大纲

• What an algorithm is
• Complexity of algorithms
• Space and time trade off
• Examples of algorithms
• Algorithms for Big Data
• Predictive classification and clustering
• Linear models
• Graphical and topical modeling
• Real time applications

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