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[REVIEW]: Practical machine learning with PyTorch #239
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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
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@manubastidas, @mnarayan, this is the space where the review process takes form. There is a checklist for each one, tick the boxes when you see that the criterion is satisfied. You can generate the checklist with
I will be here to answer the questions that you might have. Let us use as a tentative timeframe the first week of April, is that OK for you? |
Review checklist for @mnarayanConflict of interest
Code of Conduct
General checks
Documentation
Pedagogy / Instructional design (Work-in-progress: reviewers, please comment!)
JOSE paper
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Hi All, and thanks for volunteering to edit/review. We have just delivered another workshop using this material this week. |
Hello @manubastidas and @mnarayan, do you have any advances regarding this review? If we can help you with something please let us know. |
I think that @manubastidas is not able to continue the review with us for personal reasons. Thank you for your disposition and I hope to count with you in future opportunities. @dortiz5 has accepted to help us with the review. |
@editorialbot remove @manubastidas from reviewers |
@manubastidas removed from the reviewers list! |
@editorialbot add @dortiz5 to reviewers |
@dortiz5 added to the reviewers list! |
@dortiz5, this is the space where the review process takes form. There is a checklist for each one, tick the boxes when you see that the criterion is satisfied. You can generate the checklist with
I will be here to answer the questions that you might have. Let us use as a tentative timeframe the second week of May, is that OK for you? |
Review checklist for @dortiz5Conflict of interest
Code of Conduct
General checks
Documentation
Pedagogy / Instructional design (Work-in-progress: reviewers, please comment!)
JOSE paper
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@jatkinson1000, thanks to you for the repository. It is nicely written, ordered, and storytelling, with clear instructions for preparation and prerequisites to run the exercises. Also, the local installation was easy. I followed the four simple steps you described, and it works correctly. From the pedagogical standpoint, learning objectives are explicitly written and aligned with the content in the slides and the exercises. I liked that you gave different options to run the exercises and gave their solutions. Also, the information is concise and easy to follow. Finally, I found that the JOSE paper follows the checklist. |
Hi @dortiz5 There should now be contribution guidelines on the main branch and the paper branch. I'll look at sorting a version and let you know once that's done. @mnarayan @nicoguaro please do let me know if there is anything I can do to help you. |
Submitting author: @jatkinson1000 (Jack Atkinson)
Repository: https://github.com/Cambridge-ICCS/ml-training-material
Branch with paper.md (empty if default branch): JOSE
Version: v1.0
Editor: @nicoguaro
Reviewers: @mnarayan, @dortiz5
Archive: Pending
Paper kind: learning module
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@mnarayan & @manubastidas, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
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✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Checklists
📝 Checklist for @mnarayan
📝 Checklist for @dortiz5
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