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： Mihalis Yannakakis Ansaf Salleb-Aouissi Peter Orbanz Cliff Stein David Blei Itsik Peer

课程主页: https://www.edx.org/archive/machine-learning-data-science-analytics-columbiax-ds102x-0

课程评论：没有评论

第一个写评论        关注课程

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 machine learning is and how it is related to statistics and data analysis
• How machine learning uses computer algorithms to search for patterns in data
• How to use data patterns to make decisions and predictions with real-world examples from healthcare involving genomics and preterm birth
• How to uncover hidden themes in large collections of documents using topic modeling
• How to prepare data, deal with missing data and create custom data analysis solutions for different industries
• Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming 

课程评论(0条)