- [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 …
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
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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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