Neurocognitive Enhancement: Applications and Ethical Issues
On 20 May, 2021 By admin 0 Comments
DSA External Course - 2019
Abstract
External Course
Bayesuvius: Visual Dictionary of Bayesian Networks
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April 7, 2021
DSA External Course - 2021
Top Ten Algorithms in Data Mining
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DSA External Course - 2021
Artificial Neural Network Model for Forecasting Foreign Exchange Rate
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Philosophy and the practice of Bayesian statistics
On 19 May, 2021 By admin 0 Comments
2012
DSA ADS Course - 2021
Abstract
Causal Inference and Uplift Modeling: A Review of the Literature
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Causes of Effects: Learning individual responses from population data
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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
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Causality for Machine Learning
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December, 2019
Abstract
Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning.
This article discusses where links have been and should be established, introducing key concepts along the way. It argues that the hard open problems of machine learning and AI are intrinsically related to causality, and explains how the field is beginning to understand them.
Graphical Depiction of Statistical Information Improves Gambling-Related Judgments
On 19 May, 2021 By admin 0 Comments