- [Instructor] There are two basic architectures … mobile applications use to work with machine learning. … The first is the server side architecture. … In this case all of the work is done on the server, … from creating the model to live evaluation of the results. … The typical method to communicate with a server side model … is there is a web service that the application … to send information they want evaluated … and get a result back. … The information to be evaluated may be some text, an image, … a recording, almost anything. … It is normally the job of the application … to find out if the result is correct … and potentially use a web service end point … to give feedback on the results accuracy … with possible model updates happening on the server. … If that happens, the next request for evaluation … could be using updated, smarter model. … The second architecture is the client side model. … Like the server side architecture, … the work of creating and processing any updates to the model …
- Defining machine learning
- Training a machine learning model
- Comparing machine learning frameworks
- Using IBM Watson for mobile machine learning
- Using Azure Machine Learning for speech and image recognition
- Training Core ML models
- Comparing client-side and server-side models
Skill Level Beginner
Xamarin and Android Studio: Material Designwith Kevin Ford1h 47m Intermediate
Machine Learning for iOS Developerswith Brian Advent1h 25m Advanced
1. Introduction to Machine Learning
2. Server Models: IBM Watson
3. Server Models: Azure Machine Learning
4. Client Models: Core ML
5. Understanding the Offerings
Next steps1m 40s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.