- [Narrator] Here is the process for creating a model … using machine learning and feeding back in data … to improve it over time. … It is a relatively labor-intensive process, … with human intervention not only to clean up … and pre-process the data, … but doing feature extraction as well. … The magic of normal machine learning is looking … at the extracted features of the data … and creating an algorithm to determine a result. … Deep Learning is a type of machine learning. … With deep learning, there is no manual feature extraction. … Instead, it is part of the magic. … How it works is the system itself … looks at the training data, does its own feature extraction, … and then compares the candidate model to the scoring data, … makes adjustment, and compares again and again, … until it comes up with a high-scoring model. … Deep learning uses a technology called neural networks, … which are inspired by the human brain's design, … to extract information and classify the source data. … This allows deep learning to do a very complex process of …
- 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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