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Machine Learning and Core ML with Jameson Toole

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Preparing for Machine Learning

  • What does it mean to build a Model?
  • What tasks are you trying to perform?
  • How do you prep data for a model?
  • How do you collect data for a model?

Deciding the Machine Learning Task

  • What types of task can ML do?
  • What's the difference between recommendation and recognition?
  • What is supervised learning?
  • What does Apple provide for building models?
  • How does the Vision framework work?
  • Why should you consider Machine Learning on Device?
  • How can you process Speech?
  • How does choosing the processor affect training?

Making ML Part of the Project

  • How to iterate over models?
  • How do you acquire that first set of data?
  • What is synthetic data?
  • How do you implement unit testing in Machine Learning?

ML and WWDC 2020

  • How does Apple Silicon on the Mac affect Machine Learning? 
  • What advances in Machine Learning came out of WWDC 2020?
  • How WWDC 2020 reveals how ML continues to evolve?

Social Media

Email
leo@brightdigit.com
GitHub - @brightdigit

Twitter
BrightDigit - @brightdigit

Leo - @leogdion

LinkedIn
BrightDigit

Leo

Instagram - @brightdigit
Patreon - empowerappshow

Credits

Music from https://filmmusic.io
"Blippy Trance" by Kevin MacLeod (https://incompetech.com)
License: CC BY (http://creativecommons.org/licenses/by/4.0/)

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