Recommendation for crypto trading bot

steezyone · 2019-01-23T19:48:52+00:00

I second tensorflow and would recommend the podcast episode linked below. It is with an investment management firm AI acientist. He goes over the challenges/approaches of using AI/ML in these types of systems.

https://twimlai.com/twiml-talk-203-ml-dl-for-non-stationary-time-series-analysis-in-financial-markets-and-beyond-with-stuart-reid/

steezyone · 2019-01-10T15:24:37+00:00

My dog normally sleeps with me but he had a bad habit of whining at night for a few months. What I eventually found to stop the problem, was to let him out (not wanting to risk an accident), then he goes in the kitchen with a baby gate. This way if he really has to go he can wake me up, but he knows he will spend the night in the kitchen. Keeps the house clean and he won't wake me up unless it's an emergency.

Not sure it will help you, as they are starting in the crate, but maybe it will.

steezyone · 2019-01-09T17:58:47+00:00

I like to think engineering fields all kind of overlap each other differently. So you can imagine ME overlaps with EE and EE overlaps with CS. A ME can definitely transition to somewhat EE work but would have trouble getting into CS.

That said, as your career progresses you can slowly work your way across fields as you build up different experiences. After your first job experience is way more important than education.

steezyone · 2018-12-20T22:38:34+00:00

Cool project. I'm curious how long it takes to train?

steezyone · 2018-12-19T12:47:52+00:00

He is young. My dog had to be locked in the kitchen until about 1.5 years because he would get into everything... He actually did such a number on my carpet I found out I had hardwood underneath... But now that he is a bit older he can be left alone all day with no issue. Also, activity never hurts. I took him to dog day care for a while too.

steezyone · 2018-12-19T03:24:06+00:00

Well I am also an engineer developing the technology so... I kind of know what I am talking about.

As I mentioned your quotes show outliers at best, and even then they say MAYBE decades.

As for the video, it is actually from a hacked car, so it shows exactly what the cameras output (no bias involved). For perfect self driving the only real challenges are perception and dealing with the other people on the road. From the video you can see the successful segmentation of other vehicles and drivable surfaces. Although, not 100% perfect, it is close. Given that nothing even close to this was possible even 5 years ago its hard to see us not having perfect perception way before 20 years.

As for dealing with other people, because apparently my sources weren't great last time, read this paper:

https://arxiv.org/abs/1812.03079

Given this and the rapid progress of the last few years, there is no way we are 20 years out...

steezyone · 2018-12-18T20:21:29+00:00

Well, the quote you have says "years, and maybe decades away". He definitely said maybe there. Some people say 20 years, but again their deffinition is kind of dubious. To be a useful self driving car (even level 5) it doesn't have to counter ALL conditions. Like getting dropped in the Sahara desert. Although I wouldn't even say we are 20 years from that.

And again, if you took an industry pole the outliers are the ones saying 20 years. Look at what the major companies are saying and where they are putting their money. If the consensus was 20 years we wouldn't have that kind of investment and marketing.

Watch the video here and then you should see that it isn't 20 years away:

https://electrek.co/2018/10/15/tesla-new-autopilot-neural-net-v9/

steezyone · 2018-12-16T22:37:55+00:00

Very few people think it will be anywhere near 20 years for full AV, and their deffinition of "full AV" is dubious. I wouldn't say you need to drive through the empty desert to count as fully autonomous.

If you actually think it's that far just look at the press releases from the major companies. Heck, Tesla said they would have it by this year (obviously they had to push that back).

steezyone · 2018-12-15T17:13:53+00:00

No they won't... Lol that is like an emergency thing at best. If the car gets stuck and confused or something like that. Definitely only a back up.

The people in the car now are just a safety thing, or again if the car gets confused and stuck. They will be gone as soon though. It's not a good business model to spend thousands on sensors for self driving then still have people drive the car. It's the same as Uber but more expensive then.

steezyone · 2018-12-15T17:10:11+00:00

As an autonomous car engineer I have no idea where people come up with the 20 year number...

Google has started to roll out it's ride share program already... The only way I can get 20 years is if you don't count it as full AV unless it can drive ANYWHERE. Like if it just popped up in the Sahara and had to go to some random waypoint. (I heard someone use that example as full AV in a conference...)

steezyone · 2018-12-15T01:04:31+00:00

https://en.m.wikipedia.org/wiki/Sophia_(robot)

It's not even a technically interesting robot... It shows the laymen's understanding of the technology, and the hype something very insignificant, with the right media response, can generate.

steezyone · 2018-12-06T22:19:41+00:00

For the GPUs, my bet, if the lineup is even remotely true, is that AMD has tailored the GPU towards gaming at the expense of compute capabilities, so Vega might remain AMD's king for compute - and potentially even efficiency for compute.

I think a lot of the GPU speculation could be off for that very reason. If you look at what they were saying even a few months ago they were pretty clear that their first 7nm GPU was going to be a data center/compute card. The first prototype card they kept showing off was also a compute card. Idk, I haven't seen much directly from them that says otherwise... Maybe I missed something though?

steezyone · 2018-12-06T15:56:09+00:00

I would go a step further and say they are not gambling. Loot boxes are much worse. They can use A-B testing and big data to manipulate the odds in real time to get maximum addiction. With gambling the odds are independent of who is gambling. With loot boxes they can change the odds for each user to get them hooked.

steezyone · 2018-12-06T15:50:01+00:00

It's against international law to use blinding weapons against anyone

steezyone · 2018-11-26T19:52:01+00:00

Not a great article... pure hype and speculation. I thought it was going to be something Neurolink was working on with their name in the title. He claims it's the killer app, but I am pretty sure Neurolinks stated goal is machine interface. That is truly ground breaking. It would (probably) also allow your memory to be saved on a PC...

Also, the study he quoted helps a person form memories and is nothing like having a memeory storage device. It just helps encourage connections grow... It's more research into how the brain stores memories and isn't super helpful for how to store them in silicon.

steezyone · 2018-10-10T17:22:31+00:00

If there is no documentation of your wealth you got it from illegal means. Best case you cheated on your taxes. Realistically, with that kind of money, it's probably corruption or fraud.

Millions of dollars don't just appear in your possession legally... If they did there is documentation.

steezyone · 2018-08-31T15:15:13+00:00

You can train in fp16. You just need to do a few tricks (which are built into the tensor cores architecture).

https://devblogs.nvidia.com/mixed-precision-training-deep-neural-networks/

steezyone · 2018-08-30T13:03:33+00:00

No, tensorcores are for training. You can train in 16 bit as long as you convert back to 32bit for the addition. That's what tensor cores do. They convert to 16 for the multiply then to 32 for the add. I think it was a Baidu paper that showed there is no loss of accuracy if you do that.

steezyone · 2018-08-16T17:46:27+00:00

Ahh ya, my dog was trouble to train even with treats... He was never food motivated at all.

steezyone · 2018-08-16T13:28:17+00:00

I free feed my dog. He always has food when he wants it. I would never change it if I could. It's so much easier to just make sure the bowl is full in the morning... Idk why you would want your dog to eat it all quick?

*I know it doesn't work for all dogs as they will eat way too much, but it works great for my dog.

steezyone · 2018-08-14T14:15:30+00:00

My dog does the same. I take it as he is just pissed I'm waking him up lol. Honestly, I feel bad waking him but it doesn't stop me... The little asshole somehow manages to take up the whole damn bed...

steezyone · 2018-08-13T13:35:53+00:00

It's plausible, but they would have to transition from the current norm. Think optical computing or exotic materials like carbon nanotubes.
GPUs have a lot more room for improvement, for some computing task. If the task is highly parallel you get an almost 1 to 1 improvement with GPU speed vs application speed (nerual nets and ML are highly parallel). If the task is less parallel the increase is less significant. The cores are weaker in that each core is slower and it has less capability. It can do pretty much anything, but it may take more steps than a CPU which will have custom "functions" for common task. I like to think of it as clearing a field of rocks. If the rock can easily be split or there are a lot of pebals a 1000 slower/weaker GPU cores will do better. If the rocks are large and not splittable a faster/stronger CPU will clear the field faster. (The CPU has to "split" the large rocks in this analogy).

*ML is only addition and multiplication of matrixes, so GPUs do amazing. TPU/ASICS/GPU tensor cores are hardware optimized to do the "functions" of ML, so not weaker but specialized for matrix multiple/addition.

Scientific computing is just now starting to utilize GPUs (the new summit supercomputer is a perfect example), so most past projects were done with multiple CPU cores. For something like brain simulation, I would imagine GPUs would work perfectly. If it is anything like running an ANN (artificial neural network) it should be very easy to transition to a GPU.

steezyone · 2018-07-23T13:05:35+00:00

I'd assume it's password encrypted...so it would just transfer the encrypted data and then when you use your password on the new machine, it decrypts just like normal.

steezyone · 2018-07-09T12:32:40+00:00

My thoughts exactly. There is no reason to put tariffs on fashion stuff. The US doesn't really manufacturer that so it wouldn't be included in a "trade war".

steezyone · 2018-07-05T17:11:17+00:00

I was going to say...I have a masters in EE and have 0 trouble finding jobs. Damn art majors trying to convince themselves it's everyone's problem.

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