Interpretable Machine Learning Courses and Certifications

Bolei Zhou

Towards Falsifiable Interpretability Research in Machine Learning - Lecture

Explore techniques for falsifiable interpretability in machine learning, focusing on saliency, individual neurons, and populations. Learn to build stronger hypotheses for more robust research.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead - Cynthia Rudin

Advocating for interpretable machine learning models in high-stakes decisions, highlighting their reliability and transparency compared to black box models with potentially misleading explanations.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Introduction to Interpretable Machine Learning II - Cynthia Rudin

Explore interpretable machine learning with a focus on decision trees, information theory, and analytical bounds. Gain insights into modern approaches and practical applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Introduction to Interpretable Machine Learning - Cynthia Rudin

Explore interpretable machine learning with Cynthia Rudin, covering classification, natural language processing, and decision trees. Gain insights into model complexity and information theory applications.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Interpreting Deep Neural Networks Towards Trustworthiness - IPAM at UCLA

Explore techniques for interpreting deep neural networks, including ACD and AWD methods, to enhance trustworthiness in AI applications across scientific domains.

• YouTube
• 53 minutes
• On-Demand
• Free Video

International Mathematical Union

Interpreting Deep Neural Networks Towards Trustworthiness

Explores methods for interpreting complex neural networks, introducing ACD and AWD techniques. Advocates for a quality-controlled data science lifecycle to ensure trustworthy model interpretation.

• YouTube
• 46 minutes
• On-Demand
• Free Video

1littlecoder

SHAP and Shapley Values for Interpretable Machine Learning - Kaggle 30 Days of ML Day 18

Explore SHAP and Shapley Values for interpretable machine learning. Learn local interpretation techniques, Python implementation, and visualization methods for explainable AI.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Alan Turing Institute

Scoring Systems - At the Extreme of Interpretable Machine Learning - Cynthia Rudin - Duke University

Explore interpretable machine learning for high-stakes decisions. Learn about optimal scoring systems, their applications in healthcare and criminal justice, and the importance of transparency in AI models.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Fair and Interpretable Decision Rules for Binary Classification

Explore fair and interpretable decision rules for binary classification using Boolean rule sets in DNF, with a focus on maximizing accuracy while maintaining group fairness constraints.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Explore interpretable machine learning through program synthesis, focusing on control policies and RNA splice prediction. Learn novel approaches for creating custom, problem-specific model families.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Chemometrics & Machine Learning in Copenhagen

Interpretable Machine Learning with an Eye for the Physics

Explore hybrid multivariate modeling combining theory-driven preprocessing, data-driven chemometrics, and machine learning to extract meaningful information from complex big data measurements.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Broad Institute

Interpretable Machine Learning for Model Oversight and Insight

Explore interpretable machine learning techniques for model oversight and gaining valuable insights with Finale Doshi-Velez in this colloquium on AI applications in biomedicine.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Microcredential

Explainable AI (XAI)

Develop transparent and trustworthy AI systems for high-risk domains. Master XAI concepts, interpretable machine learning, and advanced explainability techniques through hands-on programming and case studies.

• Coursera
• On-Demand
• Paid Course
• 3 courses

Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

121 ratings at LinkedIn Learning

Learn best practices for how to produce explainable AI and interpretable machine learning solutions.

• LinkedIn Learning
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

Open Data Science

Interpretable Machine Learning to Model Drug Perturbations in Single Cell Genomics

Explore interpretable machine learning for modeling drug effects on single-cell genomics. Learn about deep autoencoders, manifold identification, and predicting novel perturbations in cellular states.

• YouTube
• 36 minutes
• On-Demand
• Free Video