Machine Learning Fundamentals

Machine Learning Fundamentals

Archived
Course
en
English
80 h
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Source
  • From www.edx.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 10 Sequences
  • Introductive Level

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Course details

Syllabus

  • Classification, regression, and conditional probability estimation
  • Generative and discriminative models
  • Linear models and extensions to nonlinearity using kernel methods
  • Ensemble methods: boosting, bagging, random forests
  • Representation learning: clustering, dimensionality reduction, autoencoders, deep nets

Prerequisite

  1. The previous courses in the MicroMasters program: and
  2. Undergraduate level education in:
    • Multivariate calculus
    • Linear algebra

Instructors

Sanjoy Dasgupta
Professor of Computer Science and Engineering
UC San Diego

Editor

The University of California, San Diego is a public land-grant research university in San Diego, California. Established in 1960 near the pre-existing Scripps Institution of Oceanography, UC San Diego is the southernmost of the University of California's ten campuses and offers more than 200 undergraduate and graduate degree programs, enrolling 33,096 undergraduate students and 9,872 graduate students. 

UC San Diego is considered one of the best universities in the world. Several publications have ranked UC San Diego's Departments of Biological Sciences and Computer Science among the top 10 in the world.

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