DSA ADS Course - 2023
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.
DSA ADS Course - 2023
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.
Discuss complex systems and how to use multiple conceptual frameworks in attempt to understand dynamics of different complex system types.
Discuss correlations in complex systems using financial systems and quantifying state-dependent correlations in stock markets as example.
DSA ADS Course - 2023
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.
Discuss application of probability theory in real world investing / trading scenarios.
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
DSA ADS Course 2023
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world scenarios.
Discuss application of probability theory in real world scenarios.
DSA ADS Course - 2023
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.
January, 2015
Abstract
DSA ADS Course - 2021
Probability and Risk in the Real World
Unsderstanding applied probability and accurate assessment of real-world risk is a critical part of high value data science.
DSA External Course - 2021
2013
External Course
The starting point of theories of probabilistic causation is that causes raise the probabilities of their effects; however the road to a satisfactory account of the relationship between causes and probabilisties has proven to be long and fraught with dificulties. This work offers a survey of the main problems and solutions emerged in about thirty years of research, and points to some metaphysical problems that are still object of philosophical debate.