In this notebook, we cover the basics of probability theory, and show how to implement the theory in Python. (You should have a little background in probability and Python.) Then we show how to solve some particularly perplexing paradoxical probability problems.
The essential mathematics necessary for Data Science can be acquired with these 15 MOOCs, with a strong emphasis on applied algebra & statistics.
http://www.kdnuggets.com/2015/09/15-math-mooc-data-science.html
http://www.kdnuggets.com/2015/09/15-math-mooc-data-science.html
KDnuggets
15 Mathematics MOOCs for Data Science - KDnuggets
The essential mathematics necessary for Data Science can be acquired with these 15 MOOCs, with a strong emphasis on applied algebra & statistics.
"On the ImageNet dataset, our method reduced the storage required by AlexNet by 35x from 240MB to 6.9MB, without loss of accuracy. Our method reduced the size of VGG16 by 49x from 552MB to 11.3MB, again with no loss of accuracy."
Predicting Daily Activities from Egocentric Images Using Deep Learning
http://www.cc.gatech.edu/cpl/projects/dailyactivities/
Okay, chat. Cool guyz from Georgia Tech taught neural net to classify activities of the subject.
So now Siri/Cortana/Google can predict that you will use car or buy you bus ticket, if you allow AI to track down images you see.
I think that Google Glass was launched too early, cause this the most awesome application for it.
http://www.cc.gatech.edu/cpl/projects/dailyactivities/
Okay, chat. Cool guyz from Georgia Tech taught neural net to classify activities of the subject.
So now Siri/Cortana/Google can predict that you will use car or buy you bus ticket, if you allow AI to track down images you see.
I think that Google Glass was launched too early, cause this the most awesome application for it.
Posters explaning Novel prizes
http://www.kva.se/en/Prizes/Nobel-prizes/nobel-posters/
http://www.kva.se/en/Prizes/Nobel-prizes/nobel-posters/
By getting the RNN to complete our sentences, we can effectively ask questions of the model. Ilya Sutskever and Geoff Hinton trained a character level RNN on Wikipedia, and asked it to complete the phrase “The meaning of life is”. The RNN essentially answered “human reproduction”. It’s funny that you can get an RNN to read Wikipedia for a month, and have it essentially tell you that meaning of life is to have sex. It’s probably also a correct answer from a biological perspective.
http://news.mit.edu/2015/siting-wind-farms-quickly-cheaply-0717
MIT researches forecasted better, faster and cheaper. Placement of the wind electrostation or probability of a student being banned.
MIT researches forecasted better, faster and cheaper. Placement of the wind electrostation or probability of a student being banned.
MIT News
Siting wind farms more quickly, cheaply
Researchers at MIT’s Computer Science and Artificial Intelligence Lab have devised a new statistical technique that yields better wind-speed predictions than existing techniques — even when it uses fewer data.
btw, there are 181 people reading this public chat, it's awesome