Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
On 19 May, 2022 By admin 0 Comments
Causal Inference
Data versus Science: Contesting the Soul of Data-Science
On 26 Apr, 2022 By admin 0 Comments
The Seven Tools of Causal Inference, with Reflections on Machine Learning
On 26 Apr, 2022 By admin 0 Comments
DSA ADS Course - 2021
Causality, Causal Reasoning, Causal Inference, Machine Learning, Algorithms
Discuss causality and machine learning - contrast with statistical correlations.
The Seven Tools of Causal Inference, with Reflections on Machine Learning - March, 2019 By Judea Pearl
Causal Data Science: A General Framework for Causal Inference and Fusion
On 14 Apr, 2022 By admin 0 Comments
Causality Models, Reasoning and Inference: Causal Data Science Course
On 5 Apr, 2022 By admin 0 Comments
DSA ADS Course - 2021
Causal Analysis, Causality Models, Causal Inference
Discuss causal analysis and how it applies to many different fields like health policy and medical practice, public policy, business decisions, statistics, artificial intelligence, economics, philosophy, cognitive science, and others. Review probabilistic, manipulative, counterfactual, and structural approaches to causation and apply simple mathematical tools for studying the relationships between causal connections and statistical associations.
The Causal Foundations of Applied Probability and Statistics
On 20 Mar, 2022 By admin 0 Comments
DSA ADS Course - 2023
Probabilistic Logic, Probability Theory, Causality, Causal Inference, Applied Probability, Statistics
Discuss applied probability theory and causality.
The Causal Foundations of Applied Probability and Statistics - November, 2020
Abstract
Introduction to Graphical Models and Bayesian Networks
On 28 Jan, 2022 By admin 0 Comments
DSA ADS Course - 2022
Graphical Models, Bayesian Networks, Applied Probability, Probabilistic Causation, Causal Inference
Applied data scientists require high-level understanding of probability theory and specialized techniques to design systems and solve problems in the real world. Graphical model formalism provides a natural framework for the design of new data science systems.
Introduction to Probability
On 28 Jan, 2022 By admin 0 Comments
DSA ADS Course - 2022
Probability Theory, Applied Probability, Probabilistic Causation, Causal Inference
Understanding applied probability and accurate assessment of real-world risk is a critical part of high value data science.
Why scatter plots suggest causality, and what we can do about it
On 27 Dec, 2021 By admin 0 Comments
September, 2018
Abstract
Causal Identification with Matrix Equations
On 12 Dec, 2021 By admin 0 Comments
December, 2021
Abstract