Learning From Data (Introductory Machine Learning)

开始时间: 09/18/2016 持续时间: 10 weeks

所在平台: edX

课程类别: 其他类别

大学或机构: caltechx

授课老师: Yaser S. Abu-Mostafa

   

课程主页: https://www.edx.org/course/learning-data-introductory-machine-caltechx-cs1156x

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课程详情

This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.

This course balances theory and practice, and covers the mathematical as well as the heuristic aspects. The lectures follow each other in a story-like fashion:

  • What is learning?
  • Can a machine learn?
  • How to do it?
  • How to do it well?
  • Take-home lessons.

课程大纲

  • Identify basic theoretical principles, algorithms, and applications of Machine Learning
  • Elaborate on the connections between theory and practice in Machine Learning
  • Master the mathematical and heuristic aspects of Machine Learning and their applications to real world situations

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课程简介

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

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