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1qazxsw23edc

84 karma · joined May 9, 2018

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1qazxsw23edc··on Summary: Never Eat Alone by Keith Ferrazzi with Tahl Raz
The one thing I like about any engineering and sales position is that you just can't lie about your skills, you can either build or sell something or you can't. There is no bullshit you can create at least within the organisation. And contrast it with other managerial jobs, where you can pretend to do the job as long as you can and 'network' around and when you're called out, you can just jump to another ship.
1qazxsw23edc··on Ask HN: Self-taught webdev with lots of free time. What should I learn?
ok, thanks.
1qazxsw23edc··on Ask HN: Self-taught webdev with lots of free time. What should I learn?
Not OP but did you got a remote position after learning and practising all this because I'm interested in only remote positions.
1qazxsw23edc··on Ask HN: With social media, how do you deal with FOMO on information?
Thanks, this helps.
1qazxsw23edc··on Ask HN: How many email newsletter do you subscribe to?
myself 40
1qazxsw23edc··on Informatics Lecture Video Recordings
Is anyone able to view or download these recordings. Topics in these lectures are gold but I'm not able to view or download any of the lectures. Anybody know what's the technical problem with these?
1qazxsw23edc··on Why Generalists Triumph in a Specialized World
This is opposite of what I'm experiencing in the job market.

As an example, I'm looking for a data scientist job and as you might guess, it is a very broad field. So, I thought I would learn the basics of machine learning, deep learning, required maths and programming and then I would search for the job and in whatever field I'll get the job like Natural language processing, computer vision, supply chain analytics, time series analysis, etc. , I would learn that and specialize in that field. But when I started looking for job every start-up wanted that I know current state-of-the-art techniques of their field, which is simply not possible as each start-up specialize in a different set of techniques, for example, some want deep learning, some statistics, some time series analysis, some big data processing frameworks like Apache Spark, some recommendation system and so on and so forth. As a result, I'm still searching for a job and somewhat have lost passion for data science.

So, the only learning that I got from going through this process is whatever field you choose, you have to specialize in that field to have a great career.

1qazxsw23edc··on Ask HN: How to practise Algo/DS for interviews that are every 2-3 years?
So the gist of it is keep practising atleast once or twice a week and more so when you have interviews. And for the rest of the time, learn things that interests you. Right?