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

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 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

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

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

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

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

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

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

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

1littlecoder

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

Explore interpretable machine learning with Python, covering LIME and SHAP techniques for explainable AI. Learn why ML explainability matters and how to implement it in your projects.

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