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ubcs3 / 2016-Fall

UBC Scientific Software Seminar: Machine Learning in Python with scikit-learn
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Looking for volunteer speakers! #1

Open patrickwalls opened 8 years ago

patrickwalls commented 8 years ago

The first few weeks of the seminar explore basic examples using scikit-learn but otherwise the plan is open! If you would like to volunteer to give a talk, please give a brief description below! Here are the dates:

October 7 - Introduction to scikit-learn Part I - @patrickwalls October 14 - Introduction to scikit-learn Part II - @patrickwalls October 21 - Introduction to scikit-learn Part III - @patrickwalls October 28 November 4 - Kernel density estimation and Gaussian processes - @sempwn November 11 - Remembrance Day November 18 - Feature extraction and image classification - @dbhaskar92 November 25 - December 2 - December 9 -

sempwn commented 8 years ago

I can talk about using kernel density estimation and Gaussian processes to understand spatial data such as species count data or mapping of disease ( example ) I can do any week except November 18.

Cheers, Mike

patrickwalls commented 8 years ago

Awesome! Thanks, Mike. I'll put you in for November 4 but we can always shuffle things around.

dbhaskar92 commented 8 years ago

I can talk about feature extraction and image classification in a biological context. Topics include feature extraction (mathematical morphology, watershed algorithm, 3-pixel vector method, etc.) from phase-contrast and fluorescent microscopy (some parts may require MATLAB), hierarchical clustering, k-means and PCA. Both Oct 28 and Nov 18 work for me - I prefer the latter.

patrickwalls commented 8 years ago

Thanks, Jay! I've put you in for November 18.