aih20
14 hours (usually 2 days including breaks)
Audience
H2O is an open source predictive analytics platform. It supports R, Python, Scala, Java and REST.
This instructor-led, live training (onsite or remote) is aimed at technical persons who wish to build machine learning models using algorithms such as GLM, Deep Learning and Random Forests.
By the end of this training, participants will be able to:
Format of the Course
Course Customization Options
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
No course discounts for now.
We are looking to expand our presence in New Zealand!
If you are interested in running a high-tech, high-quality training and consulting business.
Apply now!













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