How Machine Learning is Fighting Cancer

Published on November 1, 2018
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Credits:
Writer/Director: Stephanie Sammann (https://www.stephanie-sammann.com/)
Narrator/Co-Director: Brian McManus
Co-Director: Mike Ridolfi (https://www.moboxgraphics.com/)
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References:

[1] https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76
[2] https://static1.squarespace.com/static/5443d7c7e4b06e8b47de9a55/t/5a240960c8302530429f629e/1512311141147/JYI_Dec2017_122to124*.pdf
[3] http://sci-hub.tw/10.1016/j.gene.2016.01.023
[4] https://www.explainthatstuff.com/introduction-to-neural-networks.html
[5] https://www.youtube.com/watch?v=aircAruvnKk&feature=youtu.be
[6] https://hackernoon.com/gradient-descent-aynk-7cbe95a778da
[7]https://towardsdatascience.com/machine-learning-fundamentals-via-linear-regression-41a5d11f5220
[8] http://mccormickml.com/2014/03/04/gradient-descent-derivation/
[9]https://towardsdatascience.com/understanding-learning-rates-and-how-it-improves-performance-in-deep-learning-d0d4059c1c10
[10] https://news.microsoft.com/stories/computingcancer/

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