- [Male Narrator] As a developer … who may be new to machine learning … and slightly lost in all the offerings, … there's a simple mnemonic … that you can use to think about … how to evaluate them. … CodeML, … if you're an independent developer, … the first thing you might want to consider … is the cost of learning and using the technology. … Perhaps you already have access to Watson or Azure, … If so, those may be appealing. … Otherwise, the client side models may work for you. … Even if you are trying to figure out … which direction to go for a real app, … cost is likely to be a large factor. … If your app needs to work offline, … that is always going to be a large consideration. … The reality of mobile devices … is that users move around with them, … and at some point … they are likely to be somewhere … there isn't an internet connection. … If for some reason your app has to work in that scenario, … that's going to push you in a particular direction. … The desired platforms are also going to change 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
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
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