14 hours (usually 2 days including breaks)
H2O AutoML is an artificial intelligence platform that automates the process of building, selecting and optimizing large numbers of machine learning models.
This instructor-led, live training (onsite or remote) is aimed at data scientists who wish to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters.
By the end of this training, participants will be able to:
Format of the Course
Course Customization Options
Setting up a Working Environment
Anatomy of a Standard Machine Learning Workflow
Statistical and Machine Learning Algorithms
How H2O Automates the Machine Learning Workflow
Case Study: Predicting Product Availability
Downloading a Dataset
Building a Machine Learning Model
Specify a Training Frame
Training and Cross-Validating Different Models
Tuning the Hyperparameters
Training two Stacked Ensemble Models
Generating a Leaderboard of the Best Models
Inspecting the Ensemble Composition
Training a Large Number of Deep Neural Network Models
Summary and Conclusion
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