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MLN 601 Machine Learning

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A small introduction of the course:

The MLN 601 Machine Learning course module is taught under the Masters in Software Engineering program with a specialization in Artificial Advanced. The subject is formulated to provide in-depth knowledge of the methods, MLN technologies, mathematics, and algorithms that are currently being utilized in the machine learning. Throughout the course program, the students will be learning the theory behind a spectrum of machine learning equipment and exercise correlating the tools to various applications.

The various topics covered under the program include:

  • Linear model
  • Learning theory
  • Generative models
  • Graphical models
  • Learning paradigms

This subject covers theoretical concepts such as:

  • Inductive bias
  • The PAC learning framework
  • Bayesian learning methods
  • Margin-based learning and Occam's

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10. Getting updates of academic tasks utilizing an online tracking system and clear your queries using online chat service.

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