Posts Tagged ‘cbb752’

This Person Does Not Exist – Random Face Generator

April 3, 2022

https://this-person-does-not-exist.com/en

Google Colab intro/resources

August 29, 2021

Here is a google colab notebook that runs you through the basics of using colab notebooks:
https://colab.research.google.com/notebooks/basic_features_overview.ipynb

This one is a comprehensive basic python tutorial. One can learn python without reading a book, or even installing python on your own system (good for someone who knows basic programming, but not python language).
https://colab.research.google.com/github/cs231n/cs231n.github.io/blob/master/python-colab.ipynb

Maybe the most impressive thing you can run on google colab now is the AlphaFold2 code, fold any protein for free.
https://colab.research.google.com/github/deepmind/alphafold/blob/main/notebooks/AlphaFold.ipynb

Michael Levitt on Twitter: “Need advice on good Python books & courses. Learned FORTRAN from the IBM FORTRAN II manual in 1967; learned C from Kernighan & Ritchie in 1980; learned Perl from my postdocs @MarkGerstein & St even Brenner in 1995; learned Excel from @john_walkenbach in 2010. Thanks🙏” / Twitter

August 27, 2021

https://twitter.com/MLevitt_NP2013/status/1431106728230326276

This is a great educational thread! I’ll bookmark it & keep in mind some of the suggestions for my bioinformatics class, which has now moved completely to python.

In particular, I’d 2nd the recommendation for this tutorial
(http://docs.python.org/tutorial), https://tutorialspoint.com/python (from @RolandDunbrack) & the O’Reilly books (from @vajkaat & @Ceaza10).

One additional thing: if you like Perl & Excel, you’ll love GAS (Google apps script, https://developers.google.com/apps-script), which provides a way to program with standard Javascript on top of Google sheets.

Reconciling modern machine-learning practice and the classical bias–variance trade-off

May 31, 2021

QT:{{“U-shaped bias–variance trade-off curve has shaped our view of model selection and directed applications of learning algorithms in practice. “}}
Nice discussion of the limitations of the bias-variance tradeoff for #DeepLearning
https://www.pnas.org/content/116/32/15849

Course Demand Statistics for CBB752

January 18, 2020

’12: 27 => 20 (spring)

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201201&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’12: 25 => 21 (fall)

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201203&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’14: 33 => 25

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201401&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’15: 27 => 18

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201501&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’16: 29 => 18

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201601&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’17: 26 => 23

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201701&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’18: 57 => 43

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201801&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752%2FS%26DS+352&subjectCode=CB%26B

’19: 39 => 24

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=201901&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752&subjectCode=CB%26B

’20: 57 => ??

https://ivy.yale.edu/course-stats/course/courseDetail?termCode=202001&courseNumbers=CB%26B+752%2FCPSC+752%2FMB%26B+452%2FMB%26B+752%2FMB%26B+753%2FMB%26B+754%2FMCDB+452%2FMCDB+752%2FS%26DS+352&subjectCode=CB%26B

Bayesian Networks | December 2010 | Communications of the ACM

January 4, 2020

https://m-cacm.acm.org/magazines/2010/12/102122-bayesian-networks/fulltext

Midsummer Course Sharpens Skills in Informatics and Data Science | Yale School of Medicine

August 11, 2019

https://medicine.yale.edu/news/article.aspx?id=20962

Introduction to Proteins: Course presentations and more

June 30, 2019

… all presentations, tables, animations, and exercises of the second edition of Introduction to Proteins: Structure, Function, and Motion are now freely available in the new book website:
http://ibis.tau.ac.il/wiki/nir_bental/index.php/Introduction_to_Proteins_Book

Brilliant | Excel in math and science

May 5, 2019

http://brilliant.org/

Excellent review for cbb752 students

March 31, 2019

Balanced perspective on history and future of genomic medicine by Jay Shendure https://www.cell.com/cell/fulltext/S0092-8674(19)30152-7