- [Instructor] The landscape of machine learning … is still highly fragmented … with several model formats and competing standards. … Some of the common model formats you may encounter are … TensorFlow, this is backed by Google. … I wouldn't tackle this one unless you really want to … get into the depths of data science. … Keras is an open source framework for neural-networks. … Scikit-learn is also an open source framework … started by a Google Summer of Code project. … Caffe is a Berkeley AI research project. … that is now open source. … Caffe spawn Caffe2, which is backed by Facebook. … There are many other options that are out there. … For example, Microsoft has their own proprietary … I Am Learner model files … used by Azure Machine Learning Studio. … While there are many competing model standards, … luckily many of the products can work with … or import other standards. … When looking at implementing server-side … machine-learning frameworks, … there are similarly multiple providers. …
- 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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