Machine Learning and Core ML with Jameson Toole

Guest Jameson Toole (@jamesonthecrow) Fritz AI - Twitter (@fritzlabs) Heartbeat - Fritz AI Development Blog and Tutorials Related Episodes Episode 37 - Machine Learning with Kevin Scott WWDC Videos - We Loved Build an Action Classifier with Create ML Detect Body and Hand Pose with Vision Make apps smarter with Natural Language Control training in Create ML with Swift Get models on device using Core ML Converters Sponsors AppFigures The tools you need to monitor, optimize, and get more downloads. If you want your app to succeed, there's never been a better time to read up on App Store Optimization and Appfigures provides that for you. Check out their great articles and guides on app store optimization Brand new teardowns of specific apps, like Spotify for instance or indie apps like Fotmob. New competitor's report in the Appfigures dashboard where you are able to view competitor downloads, build performance benchmarks, and see the new trends as they happen. Check it out here. Check out more of their resources at appfigures.com/resources. The folks at Appfigures have easy step-by-step guides and intuitive tools to do that, which many indie developers are using to get more downloads: https://appfigures.com/resources/aso Also check out our episode with CEO Ariel Michaeli: https://share.transistor.fm/s/15b7ff63 Try Appfigures for free, and if you like it use the special link to get 30% off for the next 3 months: https://appfigures.com/account/upgrade?p=empower3030 Transistor.Fm Your podcast's publishing platform Transistor not only hosts your podcast but also: Help distribute your podcast with integrations to Apple Podcasts, Spotify, Google Podcasts, YouTube, and Mailchimp Deep analytics including average downloads per episode, popular podcast apps, number of subscribers, trends Professional support for creatives, businesses, and professional podcasters when it comes to hosting and analytics Try it today with this special link: https://transistor.fm/?via=empowerapps 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 [email protected] 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/) Thanks to our monthly supporters work design Steven Lipton ★ Support this podcast on Patreon ★