課程大綱： Artificial Intelligence (AI) with H2O培訓
Introduction
Setting up H2O
Overview of H2O Features and Architecture
Navigating the H2O WebUI
Preparing the Dataset
Working with Decision Tree Models
Creating a Linear Model
Real-time Data Scoring in H2O
Creating a Random Forest Model
Creating GBMs
Analyzing Hadoop Data
Creating a Deep Learning Model
Creating an Unsupervised Learning Model
Using H2O AutoML to Automate the Model Evaluation Process
Troubleshooting
Summary and Conclusion
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