Machine Learning and Core ML with Jameson Toole - a podcast by Leo Dion, Principal CEO and Swift Developer at BrightDigit
from 2020-08-22T00:00
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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
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/)
★ Support this podcast on Patreon ★
Further episodes of Empower Apps
Further podcasts by Leo Dion, Principal CEO and Swift Developer at BrightDigit
Website of Leo Dion, Principal CEO and Swift Developer at BrightDigit