Just explain what a quant is to my mom and what i do on daily work. (Also that we don't just play satta bazi in market😂). Also the details of what is an exchange, difference between MFT and HFT data feed, ML etc.
@paraschopra Totally agree!!
At the end everything is either a regression or classification
Linear regression = a single straight line fit.
RNN = regression/classification on sequences, but with memory.
Transformer = regression/classification on sequences, but with attention-based memory.
i was reading Chris Olah's (@ch402) 2014 blog on convolutions and convnets yesterday, and this paragraph just made me smile. "used a new kind of neuron (ReLUs) and a new technique to reduce a problem called 'overfitting' (DropOut)" hahaha, these things that are second-nature now were so mind-boggling back in the day. so cute :)
do not let your job become your entire personality.
have a hobby.
have a side gig.
have a life outside work.
have friends who don’t care about your title.
have interests that make you curious.
have goals beyond your paycheck.
@Priyansh_31Dec Most of the highly skilled people I know who are very good at whatever they do, they don't have time to make content to teach you.
They can guide you to what you should do in particular thing but they don't have that much time to sit next to you and teach you.