Laurie Bayet

Some resources that I found helpful.

The Kaggle platform: public competitions for training or research (profile)
The Machine Learning MOOC by Andrew Ng: an entry-level course that covers the most common algorithms for supervised (linear/logistic regression, SVMs) and unsupervised (PCA, clustering) machine learning. Includes Matlab/Octave labs.
The Statistical learning MOOC by Trevor Hastie & Rob Tibshirani: also entry-level but more theoretical, covers bootstrapping and tree-based methods. Follows a textbook and includes R labs.
Mixed Effects Models and Extensions in Ecology with R (2009) by Zuur, Ieno, Walker, Saveliev and Smith

The BOSS database of objects, and its updated version BOSS 2.0
The Karolinska database of Caucasian emotional faces under different angles
The Radbout database of emotional faces with different gaze directions (several ethnicities, angles and ages)
The NimStim database of emotional faces with different intensities (several ethnicities)
The CAFPS database of Chinese emotional faces (Gong, Huang, Wang, & Luo, 2011)

The Flubaroo script for automatic grading of assigments on GoogleForms: sends results to students, collects grades.
The HHMI Biointeractive website: materials to teach high-school or undergraduate biology
See the APS Wikipedia Initiative and the Wikipedia Education Foundation for tips and reasons to edit Wikipedia as a scientist and integrate Wikipedia editing with your teaching

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Laboratories of Cognitive Neuroscience, Boston Children’s Hospital, 1 Autumn Street, Boston MA, 02215, USA.

Last updated on Sun Jun 03 21:36:00 2018.