Machine Learning for Data Science and Analytics

开始时间: 待定 持续时间: 5 weeks

所在平台: edX

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/course/machine-learning-data-science-analytics-columbiax-ds102x

Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.

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 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

课程评论(0条)

Deep Learning Specialization on Coursera

课程简介

Learn the principles of machine learning and the importance of algorithms.

课程标签

4人关注该课程

主题相关的课程