Machine Learning: Difference between revisions

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*Being software, there are many open source tools
*Being software, there are many open source tools
*Main requirements are [[Training, Validation, and Test sets | Training Data]]
*Main requirements are [[Training, Validation, and Test sets | Training Data]]
*Can create solutions to problems humans could never make
*Can sometimes be hard to explain the core of the "method" it comes up with
*See the [https://www.youtube.com/watch?v=R9OHn5ZF4Uo CPG Grey Video On It]
*See the [https://www.youtube.com/watch?v=R9OHn5ZF4Uo CPG Grey Video On It]
*NEED EXPERT EXPLAINING
*NEED EXPERT EXPLAINING

Revision as of 16:22, 15 March 2020

Basics

  • A process by which an algorythm can produce other algorhythms, code, and even CAD based off of training data, and training
  • many methods each with their own advantages
  • One near essential application is complex problems such as autonomous navigation, problem solving, object recognition, etc
  • Being software, there are many open source tools
  • Main requirements are Training Data
  • Can create solutions to problems humans could never make
  • Can sometimes be hard to explain the core of the "method" it comes up with
  • See the CPG Grey Video On It
  • NEED EXPERT EXPLAINING

See Also

Useful Links