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Caltech course: Learning from Data, broadcast live Apr-May 2012

          

This real Caltech Introductory Machine Learning course will be broadcast live, and will be freely available. Prerequisites: Basic probability, matrices, and calculus. Live Q&A and online homeworks

Date:

Learning from Data

Caltech A real Caltech course, not a watered-down version Broadcast live from the lecture hall at Caltech, April - May 2012.

  • Introductory Machine Learning course
  • Free, live broadcast online
  • Taught by Caltech Prof. Yaser Abu-Mostafa [article]
  • Prerequisites: Basic probability, matrices, and calculus
  • Live Q&A and online homeworks
  • Scoreboard ranking of participants
REGISTRATION OPENS THE WEEK OF MARCH 26

open to all participants

Outline
This is an introductory course on machine learning that covers the basic theory, algorithms, and applications. Machine learning (ML) enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML techniques are widely applied in engineering, science, finance, and commerce to build systems for which we do not have full mathematical specification (and that covers a lot of systems). The course balances theory and practice, and covers the mathematical as well as the heuristic aspects.

For more information, see

work.caltech.edu/telecourse.html


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KDnuggets Home :: News » 2012 » Mar » Courses, Events » Caltech course: Learning from Data, broadcast live Apr-May 2012  ( < Prev | 12:n07 | Next > )

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