@Star_Knight12 AI advances go at warp speed. Organizations do not. There will cycles of layoffs and rehires as humanity figures it out. What comes after that, nobody knows
@CodeByNZ Find real world problems to solve. AI has accelerated development of existing software. Problems within their world. Look to reality and focus on experience of every day people. There are plenty of opportunities
I often wonder which of my beliefs are totally wrong. Searching for and discovering these is one of the primary goals of learning and thinking. This is painful but necessary.
One of the more frustrating situations that a Data Scientist can find him/herself in is working for an organization that expect *every* DS project to lead to some kind of “product”. 1/3
Courage is situational. Not categorical. Speaking truth in a situation where doing so comes at a great cost is infinitely greater than where the cost is nothing.
Using a restricted Boltzmann machine to build a binary recommendation engine for movies using pytorch. Average accuracy of 76%. #pytorch#machinelearning https://t.co/rGpx1DmXWQ