- [Instructor] Microsoft's Azure is another full-service … machine learning offering that tries … to have something for everyone. … From those who have never used machine learning … and need something extremely simple, … to more traditional R and Python-based … model creation for data scientists. … Azure's a cloud offering, and as such the Azure … machine learning products are primarily server-side. … While some of the products have the ability … to export models for client-side use, … those scenarios don't always have first class support. … There is support for a wide variety … of formats, tools and platforms. … Also, the offerings work with REST services … and client libraries that are provided for most platforms. … In typical Azure fashion, there are a wide variety … of services and they change frequently. … It can be difficult to know what services … to use and how to get started. … Here are a few that we should know. … First is Cognitive Services, … this is a set of pre-canned services for things …
- 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
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.