top of page
< Back

Machine Learning Interpretability with H2O.ai

Overview

Skills Needed

Learn to interpret machine learning models with H2O.ai. Explore feature importance, SHAP values, and more. Enroll now!

  • Intermediate knowledge of machine learning concepts
  • Familiarity with Python or R programming

Outline

  • Introduction to Model Interpretability
  • Understanding Feature Importance
  • SHAP Values and Global Interpretability
  • Local Interpretability Techniques
  • Model-Agnostic Interpretability Methods
  • Interpreting Deep Learning Models
  • Visualizing Model Decisions
  • Interpretability in Automated Machine Learning
  • Ethics and Bias in ML Interpretability
  • Case Studies in ML Interpretability with H2O.ai
bottom of page