Reality behind data science, machine learning jobs

Reality behind data science jobs. Is machine learning really cool?

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

[akilesh]

" Love the process, not the final outcome "
Fantastic line ❣️ .

[expertview]

Improve systems, not goals
Atomic habits by James Clear

[kh]

A favorite quote I've heard about data: "The data are always dirtier than they say it is and usually dirtier than they think it is."

[anishbhanushali]

Dirty work as in "manual data cleaning" is definitely a part of DS work, however, it looks good in its initial state. for example, when you're training with 500-1k data points and making your first working model then yea, at that time dirty work is justified but when you reach >20k data points(a rough estimate ) then "manual verification/cleaning" simply shows the immaturity of leadership .... that's why every ML project needs a small explainability setup ready along with original model development.

[joanneenj]

Love the process, not the final outcome. - S' Dhaval

Words of wisdom, Sir. You're right... Sometimes, it's tempting to compare my progress to other people and think of them as light-years behind my abilities. But thinking about SUCCESS is not gonna produce SUCCESS - it's the hard work, tears, and pain that no one sees. This video clip made me shed a tear.

Thanks for your encouragement!!! I'll keep going. :)

[yuganderu]

That's Bhagavad Gita, very well said sir, Thank you !!

[GuppyPal]

So true. Recently finished a MS in Statistics, and there is no way a person could complete that program and work in this field unless they were BOTH a) smart and b) willing to work very hard at very difficult and often tedious things. There will never be a surplus of true data scientists because there aren't actually very many people like this.

[vasudashenoy]

Very true
U need to explore and find ur interest
Trust me finding your interest and what u love can take lot of time but don't get anxious or worried because once you find it you will thank your past self

[franciscomedinav]

"Love the process"...
That's the key to happiness ❤❤

[danclark]

Love the process, , , Absolutely! After 30 years as a Data Engineer/Scientist/Analyst/whatever, I found that all data is “bad”. I.e dirty, incorrect, wrong cardinality, inadequate, limited, and/or not in a format that is useful.

The biggest problem is that virtually all consumers of data do not understand how truly horrible the source data is. And how difficult it is to cleanse and manipulate the data to into a format that is useful. (That includes most other technical people too.)

Most people thought that I was a software developer because I programmed in something like 8-9 procedural and set-based languages. But, when asked, I told them that I was a “data guy”. Most did not understand what I meant. They only saw the outside of what I did and not that all the tools and techniques were the means to get good data and information.

The final result was maybe 5% of the effort. The grunt work was 95%. But that was OK to me. It was satisfying grunt work.

Dan

[Max-lftx]

The biggest issue I've found at every level is nepotism.

[Ose_BunBun]

Argh! My life everyday…frustrating but eventually you love the chaos.

[kashandata]

Enjoy the journey rather than wait for destination, this has been motto of my life.

[gautamnanda]

कर्मण्येवाधिकारस्ते मा फलेषु कदाचन ।
मा कर्मफलहेतुर्भुर्मा ते संगोऽस्त्वकर्मणि ॥

अर्थ: तेरा कर्म करने में ही अधिकार है, उसके फलों में कभी नहीं। इसलिए तू कर्मों के फल हेतु मत हो तथा तेरी कर्म न करने में भी आसक्ति न हो.

[lavatr]

I am bad at maths, programming and thereby coding.
and my astrologer says You're compatible in technical 9-5 jobs Only

meanwhile i love creating 3D art, modelling, Concepting

[nikhilraov]

Every software developer does go through the same process . It's not really a difficult job once you get used to it . Not a tough grind.

[ebubechiibegbula]

As someone who doesn't have a background in maths and statistics I can only imagine how many hurdles I have to over come

[niteshsharma]

Can you explain more about dirty work, what is dirty data cleaning works means

[KrishnaAc]

Reallity is.. Hark work + interest= Success🏆💪🏆💪

[ChocolateMilkCultLeader]

Most of the work I've done in Machine Learning has been collecting and recollecting data