Skip to content

Issues: whythawk/data-as-a-science

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

19 Open 0 Closed
19 Open 0 Closed
Author
Filter by author
Loading
Label
Filter by label
Loading
Use alt + click/return to exclude labels
or ⇧ + click/return for logical OR
Projects
Filter by project
Loading
Milestones
Filter by milestone
Loading
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated Best match
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀

Issues list

Module 2 - Lesson 10: Consolidate what you have learned, and explore machine learning Lesson Lesson outcomes and outline
#19 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 9: Liquid modernity, multiple jurisdictions, and assessing causality in randomised control trials Lesson Lesson outcomes and outline
#18 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 8: Human agency and autonomous systems, and permutation testing for classification Lesson Lesson outcomes and outline
#17 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 7: Counterfactual consequences, and implementing, testing and optimising classifiers Lesson Lesson outcomes and outline
#16 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 6: Emergent systems, strange loops, and supervised and unsupervised learning techniques Lesson Lesson outcomes and outline
#15 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 5: Strong and weak machine intelligence, and classification using logistic regression Lesson Lesson outcomes and outline
#14 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 4: Ultimatum games, “fairness” and model selection for multiple regression Lesson Lesson outcomes and outline
#13 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 3: Reflective equilibrium, and methods for multiple regression Lesson Lesson outcomes and outline
#12 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 2: Doctrine of double effect, and interpreting regression with visual and numerical diagnostics Lesson Lesson outcomes and outline
#11 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 2 - Lesson 1: Trolley problems, and predictions using regression and least squares Lesson Lesson outcomes and outline
#10 opened Sep 16, 2019 by turukawa Module 2
@turukawa
Module 1 - Lesson 10: Publishing and evaluating studies based on cohort data and analysis of variance Lesson Lesson outcomes and outline
#9 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 9: Sample robustness, central limit theory, and the ethics and abuses of p-hacking Lesson Lesson outcomes and outline
#8 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 8: Bootstrapping and the risks of algorithmic decision-making Lesson Lesson outcomes and outline
#7 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 7: Hypothesis testing, and risks for policy from poor data Lesson Lesson outcomes and outline
#6 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 6: Techniques in data and population sampling, and assessing standard error Lesson Lesson outcomes and outline
#5 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 5: Expected statistical outcomes using distributions, and issues for analysis Lesson Lesson outcomes and outline
#4 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 4: Sampling, data distribution, and secure data custody Lesson Lesson outcomes and outline
#3 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 3: Probability, randomness, and the risk of de-anonymization Lesson Lesson outcomes and outline
#2 opened Sep 16, 2019 by turukawa Module 1
@turukawa
Module 1 - Lesson 2: Research and experiments with data Lesson Lesson outcomes and outline
#1 opened Sep 16, 2019 by turukawa Module 1
@turukawa
ProTip! Add no:assignee to see everything that’s not assigned.