- [Instructor] To start working with the exercise files, make sure you have already downloaded them and copied them to the desktop as I have here. Inside the exercise files folder, you'll find that there's several folders that correspond to the different machine learning technologies that we are going to use. IBM Watson, Azure and CoreML. There are two folders for each technology. One for the collateral, or data, that you'll use to create the models and one that shows what the client project will look like when complete. There is also a client project start folder. You will use this as a starting point to tie in your Watson, Azure and CoreML models. The course was recorded on a Mac and to follow along exactly, you will need to have access to a Mac as well that is running at least MacOS Mojave. If on a Mac, you will also need the latest version of Xcode. Make sure that you have the latest version of Visual Studio installed along with all Xamarin components. Additionally, to compile and run the Android project, the Android SDK should be installed along with an Android emulator or physical Android device that you can deploy onto. If on a Windows machine, ensure that you are running Windows 10. You will not be able to do the iOS or CoreML portions of the course unless you have access to a Mac. You will need Visual Studio installed along with the Xamarin packages. Android Studio will also need to be installed along with the latest Android SDK. Like on the MacOS machine, you will need an Android Emulator or physical Android device that you can deploy onto. Finally, you will need to have the Windows version of Curl installed or be prepared to translate any rest calls using Curl to a Windows equivalent. When viewing the Watson and Azure portals, the course uses Google's Chrome but any modern browser should be sufficient. The IBM Watson and Azure chapters of the course assume that you have an account with the services. While there's not a need to have a deep understanding of either of these to understand the course content, an account is required. For Watson, you will need a pay as you go account and with Azure, the free trial period should be sufficient. To get started, each of these sites have an equivalent get started free button you can use to create a new account.
- 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
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
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