Quantitative-Big-Imaging-2018
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(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018
MapReduce's birth: https://www.newyorker.com/magazine/2018/12/10/the-friendship-that-made-google-huge Why working in _good_ teams makes a huge difference
The learning objectives are not clearly delineated. What specific tasks would the students being taught with these materials be able to do at the end of each lesson?
I couldn't find a clear statement of the target audience
https://graphics.ethz.ch/teaching/viscomp17/notes.php nice ROC curve examples and more detail about sensors - https://graphics.ethz.ch/teaching/viscomp17/downloads/Lectures/VisComp02a_SegmentMorpho_annotated.pdf training/validation + illumination correction + snakes - https://graphics.ethz.ch/teaching/viscomp17/downloads/Lectures/VisComp02b_SegmentMorpho.pdf
https://fivethirtyeight.com/features/not-even-scientists-can-easily-explain-p-values/
add reference to https://onlinelibrary.wiley.com/doi/book/10.1002/9780470723586 on statistical analysis for drug development
the new @sklearn version has broken all of the montage code since now `from skimage.util.montage import montage2d` need to be replaced with `from skimage.util import montage as montage2d`
adding new workbook for dags in tensorflow
https://github.com/jni/skan/blob/master/README.md
https://github.com/m2dsupsdlclass/lectures-labs