Data Science by ODS.ai 🦜 – Telegram
Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @malev
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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.
"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."
Benchmark on classification datasets results
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.
You should really chek it out
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.
awesome news
for thos who might be interested in internship in google