- To understand machine learning, … we must first look at what is … Artificial Intelligence, or AI. … Artificial Intelligence refers … to the man-made systems that do tasks … that have traditionally required human intelligence. … Of course, what constitutes … what is artificial intelligence … is a constantly moving target. … 100 years ago, simple multiplication and division … may have been considered something … that requires human intelligence, … but now a machine that can multiply numbers … is not considered unusual or exceptional. … We have moved on to AI trying … to understand the intent of speech, … evaluate the content of images, … and even understand relationships … between complex data sets. … Over time, these will likely also … be considered to be pedestrian, … and artificial intelligence reimagined … for much more complex tasks. … Machine learning is a subset of AI. … It is the part of artificial intelligence … that creates methods for algorithms … to get better over time. …
- 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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