Most kids just want to code. So they see "Computer Science" and think "How to be a hacker in 6 weeks". Then they face some super simple algebra and freak out, eventually flunking out with the excuse that "uni only presents overtly theoretical shit nobody ever uses in real life".

They could hardly be more wrong, of course. Ignore calculus and complexity theory and you will max out on efficiency soon enough. Skip operating systems, compilers and language theory and you can only ever aspire to be a script kiddie.
You can't become a "data scientist" without statistics. And you can never grow to be even a mediocre one without solid basic research and physics training.

Hack, I've optimized literal millions of dollars out of cloud expenses by choosing the best processors for my stack, and weeks later got myself schooled (on devRant, of all places!) over my ignorance of their inner workings. And I have a MSc degree. Learning never stops.

So, to improve CS experience in uni? Tear down students expectations, and boil out the "I just wanna code!" kiddies to boot camps. Some of them will be back to learn the science. The rest will peak at age 33.

This is how U became a Data Scientist 😆

This is just straight up a joke. Head of data science has had us implementing something based on a paper.

I raised some "concerns" about it a while ago. Found out today they'd not even read the paper. We're pretty sure what we've been asked to work on doesn't solve the problem it's meant to solve...

Apply for a data engineer role.
Get invited for a data science interview.
HR says they're building AI and I were to supervise another person writing its algorithm.

It's a media company.
*Risitas intensifies*

Need some advice. I’m a uni student and I really want to go into machine learning, data science, or computer vision. I have most of the skills and I feel I am fairly competent. However, the only professional experiences I have are web dev based. How can I make myself more appealing for data based roles? I really don’t want to do web dev anymore hahahahah

In the midst of considering to be an AI engineer, data science or embedded programmer.

Plan to retire from mobile dev, backend dev and webdev.

the red haired girl and the blue haired girl.

there was this story about a programmer who spent years studying computer science before finally getting a job.

the dev studied only computer science and was put on blue team after a few days.

a few hours into one of the constant coding sessions, the boss told the devs that red team members and blue team members would be working in pairs.

the person from red team transferred the devs work to their data base without the dev knowing, then locked down the devs computer. the dev could not do anything. later, the dev got fired for not doing any work. after that, the company got millions of dollars, and the dev did not see any of it.

both the dev and the managers made a note not to hire any programmer who cannot secure their work.

it is not ethical to teach people programming without also teaching them cyber security.

computer networking, programming and security should all be the same major.

it is a bad idea to teach people how to build anything without telling them how to secure it.

the story above was just a scenario, but it probably happens way more often than people think.

Schools should teach both things in the same major.

So, I don't get the concept of dockfile. I understand it and what it does but, I learnt about it a few weeks back. Is it so important and necessary?

What is the best program to learn for data science.