Forget Harvard and Oxford too... these are the top two grad courses you can take at the moment:
https://www.ml.cmu.edu/prospective-students/ms-in-machine-learning.html
http://www.cs.ucl.ac.uk/degrees/msc_csml/
Thank you based leaf
We should form a study group to stay focused
>>1761858
Lol
ML is a fucking meme
>>1762223
hardly
>>1762223
hardly:
http://www.wired.co.uk/article/google-deepmind-data-centres-efficiency
that alone justifies the 500million purchase price
>>1762245
so why are you posting then? :P
>>1762244
idk man power isn't that expensive
>>1762310
it is for google...
>Google said it used 4,402,836 MWh of electricity in 2014, equivalent to the average yearly consumption of about 366,903 U.S. family homes. A significant proportion of Google’s spending on electricity comes from its data centers, which support its globe-spanning web services and mobile apps.
https://www.bloomberg.com/news/articles/2016-07-19/google-cuts-its-giant-electricity-bill-with-deepmind-powered-ai
the world's data is increasing exponentially, data centres in general currently use up about 2% of global power... that % will increase to double digits within a decade. Knocking a double digit percentage off the power bill for a company the size of google will, over the next few years, justify the cost of the acquisition in itself let alone all the other applied ML developments they've got planned
plenty of careers are going to face a bit of a shake up in the next decade - we're not going to need so many accountants for a start, law firms could see demand for their work seriously reduced.
Certain medical professions will also be less needed - aspects of radiology will be better preformed by machines within a few years easily:
https://www.youtube.com/watch?v=2HMPRXstSvQ
>>1761858
>average mongoloid on /biz/
>getting into CMU SCS