用于数据科学和分析的机器学习

Machine Learning for Data Science and Analytics

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

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哥伦比亚大学
edX
  • 完成时间大约为 5
  • 初级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

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

课程概况

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.

预备知识

High school math
Some exposure to computer programming

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