Model Interpretability Courses and Certifications

MIT Deep Learning in Life Sciences Spring 2020

Explore deep learning in genomics with MIT's 19-hour program, covering topics from Convolutional Neural Networks to Single-cell genomics and Systems Genetics.

• YouTube
• 19 hours
• On-Demand
• Free Online Course

2024 Python for Linear Regression in Machine Learning

266 ratings at Udemy

Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal

• Udemy
• 14 hours 36 minutes
• On-Demand
• Paid Course

statistics.com

Applied Data Science Ethics

Learn to build fair and unbiased AI models with this 4-week course from statistics.com. Gain practical tools for model interpretability and auditing, using real-world datasets and Python code.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Evaluating Model Effectiveness in Microsoft Azure

This course is intended for data science practitioners who work with Azure Machine Learning Service and who seek to improve their ML model accuracy, efficiency, and explainability.

• Pluralsight
• On-Demand
• Free Trial Available

Prodramp

Develop Successful Deep Learning Projects with This 10 Steps Formula

Learn to develop successful deep learning projects in under an hour with Prodramp's 10-step formula, covering everything from problem definition to model deployment and monitoring.

• YouTube
• 22 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics

Explore machine learning's role in scientific discovery through fluid mechanics examples with Steve Brunton, offered by IPAM. Less than 1-hour workload.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Explainable Structured Machine Learning in Similarity, Graph and Transformer Models

Dive into structured machine learning with Oliver Eberle's presentation at IPAM, exploring explanation techniques for complex models. Less than 1-hour workload.

• YouTube
• 53 minutes
• On-Demand
• Free Online Course

GOTO Conferences

Ethical ML - Who's Afraid of the Black Box Models

Dive into ethical machine learning with Prayson Daniel at GOTO Conferences. Explore pitfalls of explainability, data handling, and model testing in under an hour.

• YouTube
• 39 minutes
• On-Demand
• Conference Talk

Launchpad

Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Dive into the origins and prevalence of texture bias in Convolutional Neural Networks with Launchpad. Understand its effects, influences, and how to manage it in under an hour.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Nicholas Renotte

Machine Learning Explainability & Bias Detection with Watson OpenScale

Learn to use Watson OpenScale for machine learning explainability, debiasing, and drift detection in less than an hour with Nicholas Renotte.

• YouTube
• 23 minutes
• On-Demand
• Free Online Course

Simons Institute

Interpretability - Now What?

Explore interpretability in deep learning with Google Brain's Been Kim in this under 1-hour offering from Simons Institute. Learn about benchmarking methods, concept activation vectors, and more.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

LEMNA - Explaining Deep Learning Based Security Applications

Explore deep learning applications in security with ACM's material, focusing on explanation techniques, limitations, and the LEMNA method. Less than 1-hour workload.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

Model Explanations with Differential Privacy

Learn about model explanations with differential privacy in less than an hour with ACM's concise material.

• YouTube
• 15 minutes
• On-Demand
• Conference Talk

NDC Conferences

ML BuzzWords Demystified

Get up-to-date with the latest trends in Machine Learning, from Reinforcement Learning to AutoML, in less than an hour with NDC Conferences. No formulas, just sense.

• YouTube
• 53 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Trust Me, I'm a Data Scientist - Ethics for Builders of Data-Based Applications

Explore ethical pitfalls in data science and learn to avoid them with this less than 1-hour material from EuroPython Conference. Ideal for beginner to intermediate data scientists.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk