- [Instructor] Since we have done all the preliminary work … in Watson to create our model, and select the data, … we are ready to do the training. … To do that, I want to specify what we're trying to predict. … In this case, it is how likely they … are to vote on the budget. … So under the Select Label column for the column … Value to Predict, we're going to click it down, … and click on adoption of the budget resolution. … We can also select what columns to use to train the dataset. … So we're going to go to Feature Columns … and I'm going to select party, and also el-savalvador-aid, … religious-groups-in-schools, and mix-missile, … how they voted on the immigration bill, … education-spending, and crime. … We have a couple statistical models we can select here. … Because we want we want to predict a yes/no result, … we'll select Binary Classification. … We also see a slider for training, testing, … and hold out data: training data is what is used … to create the model; test data is kept apart …
- 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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