Data Science - Part XV - MARS, Logistic Regression, & Survival Analysis
On 9 May, 2022 By admin 0 Comments
Data Science
Data versus Science: Contesting the Soul of Data-Science
On 26 Apr, 2022 By admin 0 Comments
Data Science is NOT Statistics
On 26 Apr, 2022 By admin 0 Comments
Causal Data Science: A General Framework for Causal Inference and Fusion
On 14 Apr, 2022 By admin 0 Comments
A Data Driven Society
On 22 Mar, 2022 By admin 0 Comments
Foundations of Data Science - Textbook
On 28 Jan, 2022 By admin 0 Comments
DSA ADS Course - 2022
Avrim Blum, John Hopcroft, Ravindran Kannan - June, 2016
Introduction:
Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context free languages, and computability.
Why Machine Learning Algorithms Fall Short
On 29 Dec, 2021 By admin 0 Comments
Statistical Modeling The Two Cultures
On 14 Dec, 2021 By admin 0 Comments
DSA ADS Course, 2022
Statistical Analysis, Data Interpretation, Causal Analysis, Causality, Data Fusion, Missing Data, Counterfactuals
Discuss the two cultures of statistical modeling according to Leo Breiman in light of recent advances in machine learning and causal inference and the separation between the data-fitting and data-interpretation components of statistical modeling.
Paradoxes in the reporting of Covid19 vaccine effectiveness: Why current studies (for or against vaccination) cannot be trusted and what we can do about it
On 14 Sep, 2021 By admin 0 Comments
Errors in the implementation, analysis, and reporting of randomization within obesity and nutrition research: a guide to their avoidance
On 25 Jul, 2021 By admin 0 Comments