Columbia University Online Course on Machine Learning for Data Science and Analytics

Columbia University Online Course on Machine Learning for Data Science and Analytics
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SUMMARY
πŸ‘¨β€πŸ’Ό Sponsor: Columbia University
πŸ“š Field: Data Science and Analysis
🌐 Host: edX
πŸŽ“ Mode: Online
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About this course

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

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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.

At a glance

  • Institution:Β ColumbiaX
  • Subject:Β Computer Science
  • Level:Β Introductory
  • Prerequisites:
    • High school math
    • Some exposure to computer programming

What you’ll learn

  • 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 modelling
  • 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.

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Silas Bamigbola

About the Author: Silas Bamigbola

Certified Computer Engineer & Author, 'Lost Boys'. I believe in the influence of right information. Join me on Twitter.

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