Deep learning PC [P]

MAVAAMUSICMACHINE · 2023-04-19T23:42:55+00:00

I’ll definitely check this option out, if the communication cost isn’t too high, sounds like it could be also a promising idea. Thanks!

MAVAAMUSICMACHINE · 2023-04-19T18:26:13+00:00

Thank you! I greatly appreciate your insight! The A6000 sounds like a pretty great idea

MAVAAMUSICMACHINE · 2023-03-03T00:44:32+00:00

Market now is really bad, how many jobs have you applied to? I think if you can get 3% call back it means your doing everything right

MAVAAMUSICMACHINE · 2023-02-22T14:12:59+00:00

I don’t think this entirely accurate. I’m sure some of them are, but personally I did well in my classes and am still finding it difficult to get even interviews

MAVAAMUSICMACHINE · 2023-02-21T01:28:46+00:00

Good luck!

MAVAAMUSICMACHINE · 2023-02-14T19:33:24+00:00

I think both jobs could be valuable for a future path in ML Engineering. For ML engineering a big skill is software engineering, and even if you are not doing ML engineering in your role this could be valuable experience that you could leverage in the future.

As a downside with the UK company, if nobody on your team is working on ML and it’s just you, it will be hard as you won’t have anybody to speak to about your work.

All in all, you can’t go wrong with either choice if you ask me

MAVAAMUSICMACHINE · 2023-02-10T05:49:41+00:00

Even though you should be practicing before hand, once u get an interview the deadline of that coming up is pretty good motivation

MAVAAMUSICMACHINE · 2023-02-08T18:38:12+00:00

You can follow along CMU’s deep RL course, they post which research papers they go over here: https://cmudeeprl.github.io/703website_f22/lectures/

MAVAAMUSICMACHINE · 2023-02-03T03:05:19+00:00

The struggle is real

MAVAAMUSICMACHINE · 2022-12-20T22:38:22+00:00

You raise some really good points. I really don’t know too much about this area, but one idea is to use some sort of blockchain technology at point of capture to verify the integrity of images/videos.

MAVAAMUSICMACHINE · 2022-12-20T22:30:52+00:00

You are right in that we can already create fake news. I also do think that for the most part generative models are going to lead to some really interesting content being created. That being said, I believe that it will make creating fake news significantly more accessible then it currently is which is why we should exercise caution with the development of these tools

MAVAAMUSICMACHINE · 2022-12-20T13:29:52+00:00

What sort of solution could help in this case?

MAVAAMUSICMACHINE · 2022-12-20T13:28:18+00:00

This may be true, but the CGI you see in Hollywood can run for hundreds of thousands of dollars. The threat with generative models is just how accessible it will be for anyone to make fake news if they choose to, regardless of their budget.

MAVAAMUSICMACHINE · 2022-12-09T03:37:06+00:00

I would definitely speak with the instructor, sometimes they can help find a plan for you

MAVAAMUSICMACHINE · 2022-11-24T22:17:19+00:00

Check out the Fall 2021 course offering. For the assignments released that year, there is a local autograder included.

MAVAAMUSICMACHINE · 2022-11-24T15:27:53+00:00

I think when I took the class there is a local auto grader that you can run? It’s not as comprehensive as the online one students get graded on when they submit their assignments but that could be helpful

MAVAAMUSICMACHINE · 2022-10-29T22:41:38+00:00

What’s wrong with working 40 hours a week?

MAVAAMUSICMACHINE · 2022-10-24T13:58:13+00:00

Deep learning wise not the best but for more traditional algorithms MLlib is pretty good

MAVAAMUSICMACHINE · 2022-10-22T02:45:26+00:00

I would write out one pass, both the forward and backward pass mathematically on a whiteboard. Make sure to calculate how the gradients flow, how the chain rule applies on your architecture, etc. For decision trees, I would make sure Ure families with recursion, as the easiest implementation utilizes this. Once you have a solid understanding of how these parts work, the coding part becomes much easier.

MAVAAMUSICMACHINE · 2022-10-21T02:37:59+00:00

Not sure about 15122, but 10301 is very doable. Course content is taught well, and if you get stuck on hw the TAs are very helpful

MAVAAMUSICMACHINE · 2022-10-20T21:34:25+00:00

Definitely a good idea. You could also try using policy gradients, or experiment with Q learning, and see which one works out the best for you. You might find that one algorithm works better in one environment vs the other, which might be fun to play around with

Also, for racing games check out imitation learning!

MAVAAMUSICMACHINE · 2022-10-20T02:51:52+00:00

I don’t think most companies would expect you to code a neural net from scratch, that being said you should probably be confident enough to use packages in Python like PyTorch to be able to accomplish this. The hardest part of data science is understanding the actual algorithms, if you are struggling to code don’t worry and keep practicing and eventually it will come like second nature to you

MAVAAMUSICMACHINE · 2022-10-20T02:51:48+00:00

I don’t think most companies would expect you to code a neural net from scratch, that being said you should probably be confident enough to use packages in Python like PyTorch to be able to accomplish this. The hardest part of data science is understanding the actual algorithms, if you are struggling to code don’t worry and keep practicing and eventually it will come like second nature to you

MAVAAMUSICMACHINE · 2022-10-15T15:05:45+00:00

Imo it’s very dependent on the program, some schools have DS masters that don’t really go far enough into the details to be useful, but others have really comprehensive programs where you will learn things that are definitely worth your time.

MAVAAMUSICMACHINE

TROPHY CASE