Lookup a support vector machine for your problem

Good tip! I am googling what the fuck that means now.

Do you work in the ML field?

It seems like an awesome field but I feel I wouldn't code/build as much. I feel it would be mostly analyzing stuff.

Yes I do, and it's not that hard. The hardest part is getting the data

It seems like a lot of data cleaning 😄

Yes

Do you find it very challenging/rewarding?

Does it feel like it would take you a lifetime to truly master since it's evolving so quickly?

I love that about "software engineering".... now that I don't want a family/kids, a really challenging career seems ideal.

I can't really complain. Today I test drove a model S from 2017. Autopilot is glorious and is the reward that I seek. Besides that it's enjoyable to see something not as static as you would get from programming anything else. It's like magic at times...and it earns a lot 😉

That's beautiful!

I bet! I hope you're making 125k+

It's the last job that's going to be left. And yeah I do

I think trades/nursing and other jobs will always exist.

I agree it will be huge though.

I am already pushing towards the micro-service/SaaS development so if I focus on ML I could build out a MVP quickly.

Do you suggest a specific resource for learning ML?

I saw datacamp a while ago and it seems solid.

There's too much out there

@Roko Random: How much do you read books/textbooks or watch videos to learn compared to just reading whitepapers/Googling tutorials/articles?

I prefer learning by just reading small things and just making something nice. Applying effective learning strategies is useful. So..spaced repetition, try to teach it to someone if you get the chance, good nutrition, sleep, etc..

Yes! I ask because since I am now out of school I find myself NOT reading books or taking "MOOC/video tutorials" anymore. I simply find something I want to build and search for each task as I complete it.

What are effective learning strategies for you?

Sleep/nutrition/exercise and *for me* no caffeine... is huge too!

i am enjoying the direction this conversation is going in

I should read more books, but the thing is that I see that as a waste of time. You need to be efficient. So in a sense you only need to learn what you use often and look things up that are new.

I often just jump to important parts in books/pieces of text. Watch the shortest video possible or look for examples before I try something new. Whitepapers are still a mystery when they use a lot of advanced linear algebra, but when I look at the code it makes sense. I wouldn't focus on trying to read the deep mathematics of things unless you want to advance the field or are extremely curious. Getting a grasp of how it works on a meta-level is important though. Watch videos from Siraj Raval to get started quickly while having fun

roko how did you do in school with this approach?

People always admired me, but I dislike academic settings. They're a place for dumb people nowadays

@Roko Yes! I 100% agree. I used to just sit there and consume lectures or read books. I never got nearly as much done, wasted a lot more time and by the time I got stuff done it was old.

Honestly, I agree.

academia is about memorization and regurgitation

i'm going to school in October <:tard:480186130105630730>

You don't have to!

true

@JDB School is pretty good to get the basics down. Once you get to a higher level it slows you down due to bureaucracy and useless work. That's why I dislike academic settings. There's too much wasting of time going on which can be used in better ways.

Besides that, you don't earn a lot of money doing that. If you work at a startup you'd be doing the exact same thing, but iterate faster, get better feedback and get real rewards from your work.

do you recommend i go to school or look for a permanent job at a startup?

@JDB I cannot tell you what to do in that regard. The choice is up to you. Just know yourself and know what gets you closer to your goal.

all i need is 20,000 to support myself and save a lot

the startup root is favoured, but more risky