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Module 2 - Lesson 10: Consolidate what you have learned, and explore machine learning

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#19 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 9: Liquid modernity, multiple jurisdictions, and assessing causality in randomised control trials

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#18 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 8: Human agency and autonomous systems, and permutation testing for classification

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#17 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 7: Counterfactual consequences, and implementing, testing and optimising classifiers

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#16 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 6: Emergent systems, strange loops, and supervised and unsupervised learning techniques

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#15 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 5: Strong and weak machine intelligence, and classification using logistic regression

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#14 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 4: Ultimatum games, “fairness” and model selection for multiple regression

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#13 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 3: Reflective equilibrium, and methods for multiple regression

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#12 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 2: Doctrine of double effect, and interpreting regression with visual and numerical diagnostics

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#11 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 2 - Lesson 1: Trolley problems, and predictions using regression and least squares

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#10 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 2

Module 1 - Lesson 10: Publishing and evaluating studies based on cohort data and analysis of variance

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#9 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 1

Module 1 - Lesson 9: Sample robustness, central limit theory, and the ethics and abuses of p-hacking

LessonLesson outcomes and outlineLesson outcomes and outline

Status: Open.

#8 In whythawk/data-as-a-science;

· turukawa opened on Sep 16, 2019

 ·  

Module 1