Practical Machine Learning Training

Practical Machine Learning with H2O Powerful, Scalable Techniques for Deep Learning and AI



               H2O Software lets you perform machine learning and data analysis with simple open source framework. Its framework is very easy to use, has wide range of language and OS support, and it can scale huge data. This guide will teach you how to use H2O with minimal theory and math. Go through the basics of H2O and conduct machine-learning experience on several sample data sets.

Practical Machine Learning Training



  •         Learn how to prepare, install, set up, and load H2O
  •         Predictions and training with Python
  •         Understand a number of metrics that H2O supports
  •         Learn how to use H2O Deep Learning model to do supervised classification and regression



1: Installation and Quick-Start

2: Data Import, Data Export

3: The Data Sets

4: Common Model Parameters

5: Random Forest

6: Gradient Boosting Machines

7: Linear Models

8: Deep Learning (Neural Nets)

9: Unsupervised Learning

10: Everything Else

11: Epilogue: Didn’t They All Do Well!



Practical Machine Learning Training

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