Machine Learning for Data Science and Analytics
Columbia University
Edx
list 5 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
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Key information

credit_card Free access
verified_user Fee-based Certificate
timer 35 hours in total

About the content

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.

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Prerequisite

  • High school math
  • Some exposure to computer programming

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Syllabus

  • 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 
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Intructors

Ansaf Salleb-Aouissi
Department of Computer Science
Columbia University

Cliff Stein
Professor of IEOR and of Computer Science
Columbia University

David Blei
Professor of Computer Science and Statistics
Columbia University

Itsik Peer
Associate Professor of Computer Science
Columbia University

Mihalis Yannakakis
Professor of Computer Science
Columbia University

Peter Orbanz
Assistant Professor of Statistics
Columbia University

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Content designer

For more than 250 years, Columbia has been a leader in higher education in the nation and around the world. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries and service to society.
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Platform

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