Personalized Machine Learning

Materials

Materials to look into before the 1st class:

Books (general overview of machine learning):

(1) Bishop, Christopher M. "Pattern recognition." Machine Learning 128 (2006).

(2) Rasmussen, Carl Edward. "Gaussian processes for machine learning." (2006).

(3) Murphy, Kevin P. Machine learning: a probabilistic perspective. MIT press (2012).

Very useful resources:

https://cs.stanford.edu/~jhoffman/domainadapt/ - domain adaptation projects / computer vision

http://www.deeplearningbook.org/ - contains lecture slides, tutorials and exercises

http://www.gaussianprocess.org/ - contains reading materials on GPs, code and datasets

News articles:

1) Personalized learning: http://blogs.edweek.org/edweek/DigitalEducation/2016/01/personalized_learning_student_emotion_research.html

2) The Future of Personalized Healthcare: https://rockhealth.com/reports/predictive-analytics/

Personalized Health with Gaussian Processes https://www.youtube.com/watch?v=si5e-ekZlnQ

- A discussion on Machine Learning (GPs, Deep Models) and Personalized Learning.