- [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. …
Author
Released
3/21/2019- 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
Duration
Views
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Introduction
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What you should know1m 1s
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Using the exercise files2m 36s
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1. Introduction to Machine Learning
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What is machine learning?2m 27s
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Required concepts2m 53s
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Training a model2m 14s
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ML frameworks2m 56s
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2. Server Models: IBM Watson
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Overview of Watson2m 1s
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Visual Recognition: Set up1m 41s
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Create a custom model3m 37s
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Install client SDK package3m 45s
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Run the client app3m 27s
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3. Server Models: Azure Machine Learning
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Custom Vision: Set up4m 25s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Run the clent app2m 12s
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4. Client Models: Core ML
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Core ML overview2m 10s
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Run the client app1m 45s
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5. Understanding the Offerings
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Conclusion
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Next steps1m 40s
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