- Activation Function
- Confusion Matrix
- Convolutional Neural Networks
- Forward Propagation
- Generative Adversarial Network
- Gradient Descent
- Linear Regression
- Logistic Regression
- Machine Learning Algorithms
- Multilayer Perceptron
- Naive Bayes
- Neural Networking and Deep Learning
- RuleFit
- Stack Ensemble
- Word2Vec
- XGBoost
A
C
D
G
M
N
R
S
X
- Activation Function
- Confusion Matrix
- Convolutional Neural Networks
- Forward Propagation
- Generative Adversarial Network
- Gradient Descent
- Linear Regression
- Logistic Regression
- Machine Learning Algorithms
- Multilayer Perceptron
- Naive Bayes
- Neural Networking and Deep Learning
- RuleFit
- Stack Ensemble
- Word2Vec
- XGBoost
H2O Wiki
A repository of articles spanning multiple categories including artificial intelligence, machine learning, deep learning and data science to help inform and educate business leaders and data science professionals of all skill levels.
It doesn’t matter if you are just getting started with artificial intelligence and machine learning or want to explore new concepts, the H2O.ai wiki has up-to-date information and resources for your topic of interest.
To help you get started we have highlighted the articles for machine learning and data science. Check them out for definitions, common FAQ’s and H2O.ai resources.
Featured Term
Machine Learning Algorithms
A machine learning algorithm is a method where the artificial intelligence system conducts a task of predicting output values from given input data.
Featured Term
Feature Selection
Feature selection process is one of the main components of a feature engineering process. This is how a predictive model is developed by reducing the number of input variables.