Causality Courses and Certifications

Distributed Systems

4 reviews

These videos form an 8-lecture series on distributed systems, given as part of the undergraduate computer science course at the University of Cambridge.

• YouTube
• 7 hours
• On-Demand
• Free Video

Ceteris paribus, selection bias, randomized trials, regression, instrumental variables, regression discontinuity, diff-in-diff, and more.

• Marginal Revolution University
• 3-4 hours
• On-Demand
• Free Online Course

IEEE Signal Processing Society

Geometric Deep Learning for Drug Discovery

1 review

Explore geometric deep learning techniques for drug discovery, covering graph neural networks, molecule generation, and retrosynthetic prediction. Gain insights into cutting-edge research and applications in pharmaceutical development.

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

David Krakauer on Emergent Political Economies and A Science of Possibility

Exploring emergent political economies through complexity science, examining historical tensions, mathematical approaches, and collective computation to understand societal dynamics and possibilities.

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

What Makes the Past Different from the Future?

Explore the fundamental differences between past and future, examining scientific concepts and philosophical implications in this thought-provoking lecture on time's arrow.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Introduction to Epidemiology

Explore disease patterns, study designs, and public health applications in populations. Learn to analyze health data and shape evidence-based policies.

• California Community Colleges System
• 7 weeks, 3 hours a week
• 21st Oct, 2024
• Paid Course

IIT Kharagpur;  NPTEL

Artificial Intelligence for Economics

Explore AI/ML applications in economics, covering optimization, prediction, causality, game theory, and mechanism design. Gain practical skills through case studies in finance, customer behavior, and economic simulations.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

Bolei Zhou

Human-Centric AI for Computer Vision and Machine Autonomy - ICCV'21 Tutorial

Explore human-centric AI in computer vision, covering explainable models, interpretable neural networks, and interactive machine learning for improved AI systems and autonomous machines.

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

Institute for Advanced Study

The Primacy of Experiment - Kyle Cranmer

Explore the interplay between physics and mathematics, focusing on experimental validation and the potential for unifying theories in understanding the universe's fundamental laws.

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

Institute for Advanced Study

Priors for Semantic Variables - Yoshua Bengio

Explore semantic variables, learning theory, and cognitive processes with Yoshua Bengio. Delve into attention mechanisms, causality, and modular recurrent networks for advanced machine learning insights.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

Complexity Explorer

Computing the Uncomputable: The Coding Theorem Method - Unit 6, Module 2

Explore the Coding Theorem Method for computing uncomputable functions, delving into algorithmic information dynamics and its applications in causality and living systems.

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

Complexity Explorer

Networks from Real Data - Algorithmic Information Dynamics

Explore algorithmic information dynamics and its applications in causality and living systems, from networks to cells, using computational approaches.

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

Complexity Explorer

Cellular Automata: Algorithmic Information Dynamics in Living Systems

Explore cellular automata, a computational model for complex systems, and their applications in studying causality and living systems from networks to cells.

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

Simons Institute

Algorithmic Fairness From The Lens Of Causality And Information Theory

Explore algorithmic fairness through causality and information theory, focusing on identifying and explaining sources of disparity in ML models and quantifying accuracy-fairness trade-offs.

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

Strange Loop Conference

How to Have Your Causality and Wall Clocks, Too

Explore distributed monotonic clocks for causality and wall clock time synchronization in microservices. Learn about implementation, protocols, and applications in distributed systems.

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