ML Objectives and Outcomes


MACHINE LEARNING

OBJECTIVES:
  • Familiarity with a set of well-known supervised, unsupervised and semi-supervise Learning algorithms. 
  • The ability to implement some basic machine learning algorithm.
  • Understanding of how machine learning algorithms are evaluated.


OUTCOMES:
  • Recognize the characteristics of machine learning that make it useful to real-world Problems.
  • Characterize machine-learning algorithms as supervised, semi-supervised, and unsupervised.
  • Have heard of a few machine learning toolboxes.
  • Be able to use support vector machines.
  • Be able to use regularized regression algorithms.
  • Understand the concept behind neural networks for learning non-linear functions.


Comments

  1. Anonymous4 January 2024 at 23:56

    Thanks for posting the blog, the post covers brief intro and outcomes about Machine Learning

    ReplyDelete

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