diff --git a/01_Introduction.Rmd b/01_Introduction.Rmd index 1692868..d26ccdd 100644 --- a/01_Introduction.Rmd +++ b/01_Introduction.Rmd @@ -428,3 +428,27 @@ knitr::include_graphics("images/fig1_2.png") 01:06:47 Lydia Gibson: Spam always says free or has an exclamation point lol ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/z9-V3IapJBc")` + +
+ Meeting chat log + +``` +00:04:33 Lucio Cornejo: Hello +00:04:52 Derek Sollberger (he/him): good afternoon +00:05:00 Lucio Cornejo: Let's wait 5 minutes, in case more people connect. +00:11:25 Lucio Cornejo: https://r4ds.github.io/bookclub-islr/ +00:20:00 Phoebe Chapman: Hi everyone, it’s 9am Monday here in NZ and I’m in a shared office so I’ll intro myself in the chat to avoid suturing others int he office. I’m a postdoc working on microbiomes at Uni of Otago and I’m interested in increasing my broad statistical knowledge +00:20:23 Phoebe Chapman: *disturbing +00:31:32 Lucio Cornejo: https://botlnec.github.io/islp/ +00:39:32 Lucio Cornejo: https://docs.google.com/spreadsheets/d/1QVH6GEusEFUNEsFj3idxGH7XFq8hDC7jFaCWdx0q164/edit#gid=0 +00:42:07 Derek Sollberger (he/him): Thank you for facilitating :-D +00:42:18 Phoebe Chapman: All good. Look forward to next week! thanks +00:42:23 Caroline Schreiber: Appreciate the really good introduction, Lucio! +00:42:31 Darcé: Thanks, sorry again for being late +00:42:59 Caroline Schreiber: Bye everyone, see you next week 🙂 +``` +
diff --git a/02_Statistical-learning.Rmd b/02_Statistical-learning.Rmd index a7f2570..7ef9638 100644 --- a/02_Statistical-learning.Rmd +++ b/02_Statistical-learning.Rmd @@ -1224,3 +1224,47 @@ Again, the oldest homes have more than 8 rooms per dwelling. They have the lowes 00:37:37 Sandra Muroy: :) ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/SY_t6zkh-0I")` + +
+ Meeting chat log + +``` +00:06:29 Caroline Schreiber: Yes 🙂 +00:15:40 Jeffrey Stevens: Does 'reducible error' map onto the concept of 'bias' that we visit later in the chapter? +00:16:46 Jeffrey Stevens: Thanks +01:03:44 Jeffrey Stevens: I need to go +01:03:54 Jeffrey Stevens: + +01:04:43 Jeffrey Stevens: Thank you! +01:04:48 Phoebe Chapman: Thanks! +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/FYkp18MLycs")` + +
+ Meeting chat log + +``` +00:04:33 Derek Sollberger (he/him): good afternoon! +00:04:55 Lucio Cornejo: Helloo +00:06:17 Lucio Cornejo: What do you think about Jeffrey's previous question? +00:06:23 Lucio Cornejo: "Does 'reducible error' map onto the concept of 'bias' that we visit later in the chapter?" +00:08:46 Phoebe Chapman: Sorry, have muted +00:29:02 Lucio Cornejo: everything clear so far +00:33:40 Lucio Cornejo: oooh, yeah, yes, you are right +00:33:43 Lucio Cornejo: it's clear now +00:33:43 Lucio Cornejo: thanks +00:42:41 Ángel Féliz Ferreras: Here is my figure +00:42:54 Derek Sollberger (he/him): Reacted to "Here is my figure" with 👍 +00:43:14 Lucio Cornejo: Reacted to "Here is my figure" with 👍 +00:44:18 Phoebe Chapman: Reacted to "Here is my figure" with 👍 +00:44:38 Derek Sollberger (he/him): "Describe three real-life applications in which classification might be useful" +00:49:57 Lucio Cornejo: cool, thanks +00:50:08 Derek Sollberger (he/him): "Describe three real-life applications in which cluster analysis" +01:00:42 Phoebe Chapman: Thanks Derek +``` +
diff --git a/03_Linear-regression.Rmd b/03_Linear-regression.Rmd index 1e173c2..b05c37e 100644 --- a/03_Linear-regression.Rmd +++ b/03_Linear-regression.Rmd @@ -482,3 +482,35 @@ $$VIF(\hat{\beta_j}) = \frac{1}{1-R^2_{X_j|X_{-j}}}$$ `r knitr::include_url("https://www.youtube.com/embed/nD7n0PqK26Y")` `r knitr::include_url("https://www.youtube.com/embed/ZAXtHeALvQU")` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/gxbBSpvw2zQ")` + +
+ Meeting chat log + +``` +00:05:07 Derek Sollberger (he/him): good afternoon +00:05:32 Lucio Cornejo: hello, everyone +00:05:38 Caroline Schreiber: Hi all 😄 +00:06:27 Lucio Cornejo: maybe we can wait 2 more minutes for the rest to join +00:06:43 Caroline Schreiber: 👍 sounds good +00:44:38 Ángel Féliz Ferreras: Do you know any R package to apply any selection strategy? +00:45:43 Lucio Cornejo: the olsrr package +00:47:42 Ángel Féliz Ferreras: thanks +00:55:46 Derek Sollberger (he/him): Thank you Caroline for the great explanations! +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/168nryRVTSc")` + +
+ Meeting chat log + +``` +00:35:49 Ángel Féliz Ferreras: https://github.com/AngelFelizR/ISL-Practice +01:01:56 Derek Sollberger (he/him): Thank you Angel! +01:02:18 Lucio Cornejo: No questions, Thanks for the presentation, I learnt insterenting stuff, like ":=" +``` +
diff --git a/04_Classification.Rmd b/04_Classification.Rmd index 4029538..c20aa94 100644 --- a/04_Classification.Rmd +++ b/04_Classification.Rmd @@ -1179,3 +1179,20 @@ custom_metrics <- metric_set (accuracy, sens, spec) `r knitr::include_url("https://www.youtube.com/embed/gMQ22j5VYTg")` `r knitr::include_url("https://www.youtube.com/embed/a-NVS5-SRe0")` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/w-2uGV_JfHA")` + +
+ Meeting chat log + +``` +00:37:05 Derek Sollberger (he/him): Yes, you are describing the English and Greek letters correctly +00:50:26 Derek Sollberger (he/him): true positive rate = (# of true positives) / (# of all positives) +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/QE9Rjw11y7g")` + +`r knitr::include_url("https://www.youtube.com/embed/db2N1Bbv1Fc")` diff --git a/05_Resampling-methods.Rmd b/05_Resampling-methods.Rmd index 5734c72..415f96e 100644 --- a/05_Resampling-methods.Rmd +++ b/05_Resampling-methods.Rmd @@ -602,3 +602,32 @@ summary(lm(mpg ~ horsepower + I(horsepower^2), data = Auto))$coef 00:38:01 Ronald Legere: https://stats.stackexchange.com/ ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/MkdSnkMncCU")` + +
+ Meeting chat log + +``` +00:03:36 Angel Feliz: Resampling summary + +https://angelfelizr.github.io/ISL-Solution-Book/resampling-methods.html +00:29:20 Angel Feliz: https://github.com/AngelFelizR/ISL-Solution-Book +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/vbBZ8Ux1iUk")` + +
+ Meeting chat log + +``` +00:03:04 Ángel Féliz Ferreras: Exercises +https://angelfelizr.github.io/ISL-Solution-Book/05-execises.html +00:03:46 Derek Sollberger: I love this first exercise; I added it to my textbook :-) +00:18:03 Derek Sollberger: Did you find any advantages/convenience to using the tidymodels workflows here? +00:36:34 Ángel Féliz Ferreras: https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/06-regularization.html +``` +
diff --git a/06_Linear-model-sel-reg.Rmd b/06_Linear-model-sel-reg.Rmd index c9d48f9..e865954 100644 --- a/06_Linear-model-sel-reg.Rmd +++ b/06_Linear-model-sel-reg.Rmd @@ -451,3 +451,24 @@ https://github.com/JauntyJJS/islr2-bookclub-cohort3-chapter6-lab 00:27:23 Ronald Legere: https://stats.stackexchange.com/questions/410849/when-does-partial-least-squares-provide-1-component-solutions ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/adZlCJyNnls")` + +
+ Meeting chat log + +``` +00:05:47 Lucio Cornejo: Hello Angel +00:07:22 Lucio Cornejo: Arnab, can you hear us? +00:07:48 Arnab: No :/ +00:08:14 Arnab: Can anyone hear me? +00:08:43 Arnab: I am getting a lot of echo +00:44:58 Derek Sollberger (he/his): Fig. 6.7: Lasso (L1 norm, left picture) coefficients will meet RSS on the axes … while ridge (L2 norm, right picture) RSS will intersect at a combination of coefficients (i.e. reinforcing why lasso forces some coefficients to be zero, while ridge does not) +00:45:39 Lucio Cornejo: https://stats.stackexchange.com/questions/318322/lp-regularization-with-p-1 +01:02:45 Lucio Cornejo: no comments from me. Great presentation, thanks +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/zVj3KxFegXg")` diff --git a/07_Moving-beyond-linearity.Rmd b/07_Moving-beyond-linearity.Rmd index 73d949c..54e469f 100644 --- a/07_Moving-beyond-linearity.Rmd +++ b/07_Moving-beyond-linearity.Rmd @@ -1264,3 +1264,21 @@ I'm going to try to use that now, at least 🙃 `r knitr::include_url("https://www.youtube.com/embed/Y-oEhx4HFvM")` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/bJ_3HWWf_uQ")` + +
+ Meeting chat log + +``` +00:23:05 Derek Sollberger: (a) jump discontinuity (models do not intersect) +00:23:17 Derek Sollberger: (b) models intersect, but lower complexity +00:23:36 Derek Sollberger: (c) models intersect, restore complexity, consider bias-variance trade-off +00:23:50 Derek Sollberger: (d) clamped cubic spline: ensure slopes match +00:24:00 Derek Sollberger: but doubles amount of equations and coefficients +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/mDw4Nj2kf9o")` diff --git a/08_Tree-based-methods.Rmd b/08_Tree-based-methods.Rmd index 31cd8e0..6b34770 100644 --- a/08_Tree-based-methods.Rmd +++ b/08_Tree-based-methods.Rmd @@ -1264,3 +1264,27 @@ doParallel::stopImplicitCluster() 00:30:58 Ron: https://projecteuclid.org/journals/annals-of-applied-statistics/volume-4/issue-1/BART-Bayesian-additive-regression-trees/10.1214/09-AOAS285.full ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/acXCrwkv_SU")` + +
+ Meeting chat log + +``` +00:33:16 Lucio Cornejo: https://en.wikipedia.org/wiki/Arrow%27s_impossibility_theorem +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/oovisIM4RqM")` + +
+ Meeting chat log + +``` +00:27:48 Lucio Cornejo: https://rpubs.com/lmorgan95/ISLR_CH8_Solutions +00:28:14 Lucio Cornejo: https://www.youtube.com/watch?v=D0efHEJsfHo +01:00:39 Lucio Cornejo: end +``` +
diff --git a/09_Support-vector-machines.Rmd b/09_Support-vector-machines.Rmd index 3172825..8a0f873 100644 --- a/09_Support-vector-machines.Rmd +++ b/09_Support-vector-machines.Rmd @@ -538,3 +538,19 @@ Now that we've seen one that's comparable, I want to focus on the tidymodels ver 00:37:36 Sandra Muroy: https://towardsdatascience.com/understanding-auc-roc-curve-68b2303cc9c5 ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/mpnBWjgzunw")` + +
+ Meeting chat log + +``` +00:04:14 Derek Sollberger (he/him): start +00:59:44 Lucio Cornejo: https://link.springer.com/chapter/10.1007/3-540-45665-1_31 +01:01:38 Derek Sollberger (he/him): end +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/lHD82la2uvU")` diff --git a/10_Deep-learning.Rmd b/10_Deep-learning.Rmd index ab84f53..dd9e738 100644 --- a/10_Deep-learning.Rmd +++ b/10_Deep-learning.Rmd @@ -798,3 +798,36 @@ XGBoost is a scalable and highly accurate implementatio 01:14:03 Ron: I am going to hop off as well, see you next time! ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/PXcKjeVv5Wg")` + +
+ Meeting chat log + +``` +00:12:08 Federica Gazzelloni: start +00:15:39 Federica Gazzelloni: https://github.com/tristanoprofetto/neural-networks/blob/main/ANN/Regressor/feedforward.R +00:33:45 Federica Gazzelloni: https://www.youtube.com/watch?v=CqOfi41LfDw +01:09:11 Federica Gazzelloni: end +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/c-4eXkKrlvo")` + +
+ Meeting chat log + +``` +00:07:17 Lucio Cornejo: Hello, everyone +00:07:40 Derek Sollberger (he/him): Good afternoon +00:09:11 Federica Gazzelloni: start +00:26:20 Federica Gazzelloni: https://hastie.su.domains/ISLR2/Labs/Rmarkdown_Notebooks/Ch10-deeplearning-lab-torch.html +00:27:28 Federica Gazzelloni: https://hastie.su.domains/ISLR2/Labs/Rmarkdown_Notebooks/Ch10-deeplearning-lab-keras.html +00:44:30 Federica Gazzelloni: (book source (10.20) on page 428) +00:44:47 Derek Sollberger (he/him): The keras workflow and pipes are interesting +00:53:54 Lucio Cornejo: no questions from me +00:57:52 Federica Gazzelloni: end +``` +
diff --git a/11_Survival-analysis.Rmd b/11_Survival-analysis.Rmd index 56f060c..e43c66e 100644 --- a/11_Survival-analysis.Rmd +++ b/11_Survival-analysis.Rmd @@ -506,3 +506,35 @@ https://www.merriam-webster.com/dictionary/minuend `r knitr::include_url("https://www.youtube.com/embed/REshRlsPf4U")` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/rQ9p9qawq1E")` + +
+ Meeting chat log + +``` +00:06:00 Lucio Cornejo: Hello, Ángel, Derek +00:06:21 Ángel Féliz Ferreras: start +00:31:30 Lucio Cornejo: not so far, thanks +00:55:54 Derek Sollberger (he/his): Thank you for tracking down the C-index function in the dynpred package +00:56:31 Lucio Cornejo: thanks chat gpt as well +00:56:35 Ángel Féliz Ferreras: end +00:57:10 Derek Sollberger (he/his): Is this survival analysis new in the second edition of ISLR? +00:58:02 Ángel Féliz Ferreras: https://angelfelizr.github.io/ISL-Solution-Book/survival-analysis.html +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/iu9TGW4f94E")` + +
+ Meeting chat log + +``` +00:04:20 Ángel Féliz Ferreras: start +00:26:58 Derek Sollberger: haha, whatever parameterization is preferred :-) +00:29:21 Ángel Féliz Ferreras: end +00:29:30 Derek Sollberger: thanks! +``` +
diff --git a/12_Unsupervised-learning.Rmd b/12_Unsupervised-learning.Rmd index fcde6ee..91dbf56 100644 --- a/12_Unsupervised-learning.Rmd +++ b/12_Unsupervised-learning.Rmd @@ -679,3 +679,22 @@ x %>% 00:19:16 Sandra Muroy: gap statistic original paper ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/Q7cBNFI57uc")` + +
+ Meeting chat log + +``` +00:05:09 Ángel Féliz Ferreras: start +00:40:12 Ángel Féliz Ferreras: end +01:31:19 Ángel Féliz Ferreras: https://angelfeliz.com/posts/01-readiable-code/main.html#code-style +01:35:45 Lucio Cornejo: True +01:35:50 Lucio Cornejo: !!0 +01:47:07 Lucio Cornejo: https://www.youtube.com/watch?v=prc4_l2SIbw +``` +
+ +`r knitr::include_url("https://www.youtube.com/embed/WBRc5BZIYzg")` diff --git a/13_Multiple-testing.Rmd b/13_Multiple-testing.Rmd index 3f75c99..5b54310 100644 --- a/13_Multiple-testing.Rmd +++ b/13_Multiple-testing.Rmd @@ -986,3 +986,17 @@ time our data do not record exactly what we would ideally like to study. 01:06:14 Ron: "Down with determinants" lol ``` + +### Cohort 5 + +`r knitr::include_url("https://www.youtube.com/embed/wx6vqcbg-qI")` + +
+ Meeting chat log + +``` +00:05:26 Lucio Cornejo: start +00:39:32 Derek Sollberger (he/his): It may be the case that the *proof* of the Benjamini-Hochberg procedure is easier if the underlying variables are independent +00:43:25 Lucio Cornejo: end +``` +
diff --git a/DESCRIPTION b/DESCRIPTION index 9adad79..0da8319 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -55,4 +55,5 @@ Imports: xgboost Remotes: hadley/emo, - njtierney/broomstick + njtierney/broomstick, + koalaverse/vip diff --git a/README.md b/README.md index 26ce6cf..ebd7044 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ If you would like to present, please see the sign-up sheet for your cohort (link - Cohort 2 (started 2021-12-02, ended 2022-07-14): [meeting videos](https://youtube.com/playlist?list=PL3x6DOfs2NGhO5S1v53nQzil-OSRZIweH) - Cohort 3 (started 2022-02-07, ended 2022-09-05): [meeting videos](https://youtube.com/playlist?list=PL3x6DOfs2NGisLSs09v1NQUQaxuE8nbOO) - Cohort 4 (started 2022-05-01, ended 2022-12-04): [meeting videos](https://youtube.com/playlist?list=PL3x6DOfs2NGi9LAXM5kcyuN_bkN66TzUD) -- [Cohort 5](https://docs.google.com/spreadsheets/d/1QVH6GEusEFUNEsFj3idxGH7XFq8hDC7jFaCWdx0q164/edit#gid=0) (started 2023-01-15): [Sundays, 14:00 CST/CDT](https://www.timeanddate.com/worldclock/converter.html?iso=20230115T200000&p1=24&p2=131&p3=1440) | [meeting videos](https://youtube.com/playlist?list=PL3x6DOfs2NGjbefZellBVB306_z8Wz1Xd) +- Cohort 5 (started 2023-01-15, ended 2023-07-30): [meeting videos](https://youtube.com/playlist?list=PL3x6DOfs2NGjbefZellBVB306_z8Wz1Xd)