H2O Documentation
  • New Users
    • Getting Started From a Downloaded Zip File
    • H2O on EC2
    • H2O Command-line Options
  • Documentation For R Users (Console and Studio)
    • H2O Installation in R From Download Table
    • H2O + R For Developers Using Github
    • R Package Documentation
  • H2O User Guide
    • General
    • Data
    • Model
    • Score
    • Admin
    • Help
  • Walk-Through Tutorials
    • GLM Tutorial
    • GLM Grid Tutorial
    • K Means Tutorial
    • Random Forest Tutorial
    • PCA Tutorial
    • GBM Tutorial
    • GBM Grid Tutorial
    • R Tutorial
    • Multimodel Scoring Tutorial
  • Quick Start Videos
    • Getting Started from H2O Zip File
    • Getting Started with H2O in R
    • GLM
    • K-Means
  • H2O on Hadoop
    • Running H2O on Hadoop
    • H2O on Hadoop Guide
  • H2O on a Multi-Node Cluster
  • Glossary
  • H2O Algorithms Roadmap
  • Public Data Sets
    • Open City Datasets
    • Transportation and Travel
    • Sciences and Engineering
    • Diverse Data Sets
    • Public Policy Data
    • Other
  • H2O Performance Datasheet
  • Index By Subject
  • R Package Documentation
  • Data Science in H2O
    • Generalized Linear Model
    • K-Means
    • Random Forest
    • Principal Components Analysis
    • Summary
    • Gradient Boosted Regression and Classification
    • Naive Bayes
    • Deep Learning
    • Data Science and Machine Learning
    • Stochastic Gradient Descent
    • References
  • Benchmarks
  • Getting Started with Development in H2O
    • From Source Code (Github)
    • Updating H2O from Github
    • H2O For Eclipse Users (Github)
    • For IDEA Users (Github)
    • Setting up an H2O Hadoop cluster on a Mac
    • Scala for H2O: Shalala
    • Java API
    • REST/JSON API
    • H2O Developer Cookbook
  • H2O Software Architecture
    • H2O Software Stack
    • How R Scripts Call H2O GLM
    • How R Expressions are Sent to H2O for Evaluation
    • Parse Overview
    • Job/MRTask/FJTask Overview
  • H2O Community
    • Get In Touch
    • Learn About H2O
  • H2O License
  • Troubleshooting H2O
    • Download and Send Us Your Logs
    • Hadoop - Copy and Paste Your YARN Logs
    • Other Common Troubleshooting Topics
    • R and H2O
    • H2O On Windows
  • Contact Us
  • High Availability Considerations for H2O
 
H2O Documentation
  • Docs »
  • Data Science in H2O
  • View page source

Data Science in H2OΒΆ

  • Generalized Linear Model
  • K-Means
  • Random Forest
  • Principal Components Analysis
  • Summary
  • Gradient Boosted Regression and Classification
  • Naive Bayes
  • Deep Learning
  • Data Science and Machine Learning
  • Stochastic Gradient Descent
  • References
Next Previous

© Copyright 2013, 0xdata, Inc.

Sphinx theme provided by Read the Docs