How are Data Scientist keeping themselves updated?

Question

I have been in Data Science for 8 years now. The latest developments in deep learning and LLMs are moving at such high pace. It is getting difficult to keep myself updated with latest trends while simultaneously delivering work at my current job. How are others managing?

mo_42 · Accepted Answer

I don't try to keep myself updated. I don't listen to podcasts. I'm not subscribed to any data science newsletter. Neither do I go to meetups. I think this is all a distraction.
If I encounter a problem that I cannot solve sufficiently with the methods I already know, I start exploring and read material until I find something that does the job.
The other way around makes you try to apply your new and fancy method everywhere simply because you're excited about it and it's new.
There's a similar phenomenon in tech in general, when people suddenly start to adopt OOP everywhere or there's a new JavaScript framework around the corner without assessing what the benefit will be.

kelseyfrog · Answer

I have an hour each day permanently carved out on my calendar just for reading https://arxiv.org/list/cs.LG/new. It satisfies the "continuing education" portion of my annual goals. At the end of last year, I was able to use my browser history to find the total number of opened[at least skimmed] preprints and it more than satisfied my goal.

acangiano · Answer

This is only one source among the many you should consult, also I'm biased because I'm a co-founder, but cognitiveclass.ai constantly publishes new guided projects (and courses) on related topics. They are free, and in the case of guided projects, quick. Sort by new and have at it: https://cognitiveclass.ai/courses?type%5B%5D=all&sort%5B%5D=...

mesonyktio · Answer

I try to regularly check my sources and discuss the news with my network.Resources: People (Karparthy, Andrew Ng), YouTube channels (AI breakdown, AI explained), websites/newsletters (The Batch!), conferences, follow Reddit (r/artificial, r/datascience), discord servers (Hugging Face, LLMOps.space), podcasts (Last Week in AI, Super Data Science Podcast).

tacostakohashi · Answer

I just just thinking last night about how I hadn't heard anything about 'data science' for a while.It seems to be at the very tail end of the hype cycle, having gone from 'the new words for programming', the big growth area / easy way to get hired that every company had to have, to... the old word for 'AI' now?