.png "aeronautical radio, incorporated (arinc)")
_ireland.gif "environmental protection agency (epa) ireland")
aih20
14 horas (usualmente 2 días, incluidas las pausas)
Audience
H2O es una plataforma de análisis predictivo de código abierto. Es compatible con R, Python, Scala, Java y REST.
este entrenamiento en vivo (in situ o remoto) dirigido por un instructor está dirigido a personas técnicas que deseen construir modelos de aprendizaje automático utilizando algoritmos como GLM, Deep Learning y Random bosques.
al final de esta formación, los participantes podrán:
Format del curso
Course
Machine Translated
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
We are looking to expand our presence in Guatemala!
If you are interested in running a high-tech, high-quality training and consulting business.
Apply now!
