Machine Learning for Data Science and Analytics

MOOC
Machine Learning for Data Science and Analytics
Language
English
Duration
11 months
Certificate
Certification paid
Course by EdX
Machine Learning for Data Science and Analytics
What will you 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 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
About the 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.

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.

Program
Machine Learning for Data Science and Analytics
Learn the principles of machine learning and the importance of algorithms.
Lecturers
Ansaf Salleb-Aouissi
Ansaf Salleb-Aouissi
Department of Computer Science Columbia University
Cliff Stein
Cliff Stein
Professor of IEOR and of Computer Science Columbia University
David Blei
David Blei
Professor of Computer Science and Statistics Columbia University
Itsik Peer
Itsik Peer
Associate Professor of Computer Science Columbia University
Mihalis Yannakakis
Mihalis Yannakakis
Professor of Computer Science Columbia University
Peter Orbanz
Peter Orbanz
Assistant Professor of Statistics Columbia University
Platform
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