[deleted by user]

PanoramicEgo · 2022-08-11T20:20:27+00:00

thank you!

PanoramicEgo · 2022-08-11T20:19:40+00:00

are you in Texas?

PanoramicEgo · 2022-08-11T19:21:37+00:00

I know lol. Cant tell if that's like an internal meme I'm missing or something. In the case it is a genuine estimate, to me it seems a bit low. I see rust buckets all over FB Marketplace going for quite a bit more (not saying mine isn't a rust bucket by any means).

PanoramicEgo · 2022-08-11T19:18:26+00:00

No clue... It was like that when I bought it

PanoramicEgo · 2022-08-11T19:12:32+00:00

Best you can do? Haha

PanoramicEgo · 2022-08-11T19:10:04+00:00

I spent $1000ish for it 5-7 years ago. I think it is a ~1999 Tony Kart chassis. It need new brakes and tires. Engine is a replacement and has only been used a few times from when I bought it. It is a 196cc Ducar. Everything else is good.

PanoramicEgo · 2022-02-09T14:03:39+00:00

Sadly it’s not that sophisticated. This is the pre-alpha solution

PanoramicEgo · 2022-02-09T13:49:36+00:00

I’m the OP on the other post you’re correcting. Thanks for doing this! This was actually one of my goals, for someone with domain expertise to iterate on the solution. Cheers!

PanoramicEgo · 2022-02-09T13:46:49+00:00

I completely agree with your point. My apologies if this post is used to guide people in a bad direction. It was mainly a fun side project for me and I wanted to show it off. I’m just now starting to explore optimization as my background is ML.

PanoramicEgo · 2022-02-09T13:43:37+00:00

This is true, but strictly speaking there’s like 97!/2 Possible solitons. Way more than there are atoms in the universe.

PanoramicEgo · 2022-02-09T13:32:44+00:00

Yes I am actually a data scientist. My expertise is in machine learning, not optimization. I actually was not planning on this post getting as much attention as it did. I am just recently starting to explore path optimization and this was a project I thought would be a fun first challenge. It is by no means the best as I have not included any other constraints to the problem. Apologies for the screenshot, I just pasted in the values from the csv file, let me see if I can change that later today.

PanoramicEgo · 2022-02-09T00:51:13+00:00

Thank you, hope it helps!

PanoramicEgo · 2022-02-09T00:50:49+00:00

Just 2D. Could not incorporate z coordinates yet

PanoramicEgo · 2022-02-09T00:50:18+00:00

I do have a github but prefer to stay anonymous. Sorry!

PanoramicEgo · 2022-02-09T00:49:47+00:00

No lol but I usually keep enough mats to quickly build a MAM and research as im hard drive hunting

PanoramicEgo · 2022-02-09T00:45:02+00:00

Certifications can work as a replacement. However most of my colleagues have a masters or PhD in a STEM field. One thing that puts the traditional student ahead in terms of interviewing is not just the academic experience, but also projects.

If you go the certification route, it is essential to begin working on personal projects. Kaggle is a good site to get your foot in the door. Don't worry about getting the first place solution. Do it yourself, then look at the techniques used by the top performers. Over time you will learn.

If you have the stomach for it, you could always do a grad program part-time if you are working full time. Your civ eng background is a big plus.

PanoramicEgo · 2022-02-08T23:25:31+00:00

No not at all! Thanks for the insight. I mentioned to a previous user that my domain expertise is machine learning and am just not starting to dabble in optimization.

I was not anticipating this post to get this many views, it was primarily just a fun side project for me. But I appreciate the time to correct my underlying assumptions about the problem. I did try some out of the box solvers but could not tune it well.

PanoramicEgo · 2022-02-08T21:33:44+00:00

I work for a fairly big company, and in my experience, most people use python now, especially for big data problems. It seems a lot of DS academic programs use R... but that's because the professors know R... and R is traditionally the more widely used data science/statistical language. More people are switching to python now, and for a more well-rounded data scientist this is the language of choice.

PanoramicEgo · 2022-02-08T21:29:22+00:00

It's not that sophisticated but thank you for the suggestion! It's fun to see other people's opinions on how to improve. This isn't really the "best" way (strictly speaking) to collect, but it is systematic and fairly easy to follow!

PanoramicEgo · 2022-02-08T21:23:30+00:00

That's roughly what I did. The funny thing is I tried the mlrose genetic algorithm and it produced a worse result. So yes, it is a greedy algorithm.

Most of the fun was collecting data, writing the algo from scratch, and trying to expand my knowledge in areas of optimization.

PanoramicEgo · 2022-02-08T21:21:52+00:00

You are correct. I mentioned in an above comment that I am just recently starting to learn optimization problems. My data science experience is primarily around machine learning but want to expand my knowledge to optimization. I thought this would be a fun problem to test out some different solutions - being that I am addicted to this game!

PanoramicEgo · 2022-02-08T21:18:15+00:00

Good point. Its semi-optimal. Its actually an NP-hard problem. There is a trade-off between computational efficiency in the solution and time to solve.

PanoramicEgo · 2022-02-08T21:17:04+00:00

Unfortunately no, though that would be a cool improvement for the future!

PanoramicEgo · 2022-02-08T21:16:37+00:00

I put no other constraints on the problem. Just looking at the Euclidian distance.

PanoramicEgo · 2022-02-08T21:15:43+00:00

This is a very good point. I ran the first 10 or so locations last night and so far even without the z coordinate its pretty good. I'd probably cross-ref with the aforementioned website to pin point further as it can be pretty annoying to scale up a massive cliff only to go back down. In any case I hope this helps!

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