- [Instructor] In many corporate websites we see today, … there is a window where you can chat … with a company representative 24/7. … This is almost certainly not a real person, … but instead powered by machine learning technologies. … These technologies can not only understand the basic … text being typed, but the intent of the person … doing the typing. … Even understanding the person's mood. … This is known as natural language recognition. … Natural language recognition can be much more friendly … than today's phone menuing systems … and can give customers the feeling … that they can communicate with your company at any time. … But sometimes the user can't type … into your applications user interface. … Their hands may be busy, … but even here machine learning technologies can help us. … They have become much better at recognizing … a users speech and even can get a better understanding … of the speech and accents of individuals. … We even see information coming off the devices camera …
- 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.