Skip to content

Instantly share code, notes, and snippets.

@rosdyana

rosdyana/growth_of_machine_learning.MD

Created April 9, 2017 15:44
Show Gist options
  • Save rosdyana/6308bd8e865e9b97c4152c281d6ed279 to your computer and use it in GitHub Desktop.
Save rosdyana/6308bd8e865e9b97c4152c281d6ed279 to your computer and use it in GitHub Desktop.
Download ZIP
Growth of Machine Learning
Raw
growth_of_machine_learning.MD

Growth of Machine Learning

Machine learning is preferred approach to

  • Speech recognition , Natural language processing
  • Computer vision
  • Medical outcomes analysis
  • Robot control
  • Computational biology
  • Sensor networks
  • Finance Strategies
  • ...

This trend is accelerating

  • Improved machine learning algorithms
  • Improved data capture, networking, faster computers
  • Software too complex to write by hand
  • New sensors / IO devices
  • Demand for self-customization to user, environment

Key Issues in ML

  • What are good hypothesis spaces ?
  • How to find best hypothesis ? ( algorithms/ complexity )
  • How to optimize for accuracy of unseen testing data ?
  • Can we have confidence in results ?
  • How much data is needed ?
  • How to model applications as ML problems ?
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment