What is considered to be "top of game" in deep learning in your experience... does that apply to just researchers like Ian Goodfellow who come up with completely novel methods for ML algorithms, or does it extend as far as people who are just using the methods that others developed effectively or in new ways? I know thats a weird question, but I am planning on looking into deep learning jobs after finishing my (MS) curious what the market value is for people who have experience implementing the systems , vs the people inventing new architectures. Because I won't have a PHD... It seems like somewhere along the way its a pretty extreme jump to ask for 1,2M or even 500K instead of just 100K~200K... wondering if you have any advice for how someone new might prove themselves... I guess beyond the standard stuff (have a nice github, try to replicate papers etc...)

I think a smart, hard working person who re-uses modern results from others well and in potentially new ways can create a vast amount of value. Short term, more than the top guys, as a lot of their work may be speculative, and yours would be getting-it-done. Long term, they'll invent some method that leaves you in the dust, but that's fine, just learn that too!

After reading the article I am genuinely unsure whether you are joking or not.

Fake it till you make it dude

Genuinely curious - what do you do?

He puts smart assets on a blockchain and controls them with AI

https://hydrachain.io/

These RAMM sites seem a hotch-potch of vaguely related buzzwords, blurred images and unrelated company logos.

Did you see the laundry list of "Current Customer Use Cases" under https://ramm.science/x/signalbox/?

I respect fake-it-till-you-make to some degree, but I find too much "spinning" actually hurts the ML industry (though no doubt profitable for the spin artists). Communication style straight from the ICO world.

I thought this was a joke, but it turns out to be true. This is the world we live in.

In my profile

What qualifications or degrees do these people posses?

It's experience in the two examples I gave : I singlehandedly built my company : RAMM Science (https://ramm.science)

And he singlehandedly built one of Europes largest online betting system backends (and scaled it to 800 transactions a second using Deep Learning, Kafka and a Hadoop cluster)

Is that a real company? Your website is all "lorem ipsum ...". https://ramm.science/x/signalbox/

hahahaha you made me slap my forehead, someone did tell me that the other day and I forgot to fix it. thanks for reminding me!

I'm not seeing any lorem ipsum at this url.

Is 800 transactions per second good? It seems like a low number but what do I know. I am impressed that Europe's largest betting system only does 800 transactions per second.

That's 800 credit card transactions a second --- thats people making deposits into their accounts to bet with. (btw I think that's peak - I'm not 100% sure)

The frontends (where the casino / betting games run) do a lot more than this, but they work against the balance in the account, it's the payment gateway that's doing 800/s

Why does a payment gateway need deep learning? I can't imagine an online betting system doing fraud detection on deposits.

It was a bit simplistic of me to summarize it as a payment gateway, it was actually 50-60% of their backend systems that was enhanced, it was called their "Big Data Project"

They do do fraud detection on the deposits, because of anti-money-laundering. The DL models also monitor various other types of abuse (bonus abuse and in-game abusers). They also are experimenting with Deep Reenforcement Learning to actually play some of the games

I thought bots weren't allowed? Also a DL bot by the house would probably have an unfair advantage.

Well, I think random forests on a feature set probably plays a big role and is probably easier. But to use a deep neural network maybe, you might be able to get away with a convolutional network to extract higher order associations among some input set.

An online betting system has to do fraud detection on a higher level than random merchants, since they can expect to be a target for large scale non-amateur fraudsters, and just as in any other business, if your incoming payments are fraudulent, you lose that money.

Perhaps for anti-money laundering compliance.

That’s impressive. Time to hire a front end engineer and designer though.

You can do with a bad front end design if you are doing b2b since you don’t get leads from your websites but instead from meeting people .

This is absolutely true. Our company's website leaves much to be desired (and I'm in charge of it!) but we do not solicit or receive leads from it.

yeah this is correct, I get sales through word of mouth and resellers, the website is really just a holding page

So I can do 800 credit card transactions a second I should get a 100x raise? I knew I was underpaid, but not that much ! :P

Close. You need to build a product with which 800 people per second want to perform a credit card transaction.

Easily done if you don't care which way the transaction goes!

Yeah. That would be my employers then, and they're definitely making more than that :)

Get rid of the font-weight on your site, it makes the text unreadable.

But good work making something and becoming successful!

Degrees don't matter. (Business focused) results and a track record of delivering do. Still impressive remuneration though -- he must be adding tens of millions in profits to the bottom line.

Degrees matter deeply among the untalented in my experience. I have one of those fancy pee HUDs, but I only whip it out when I'm dealing with the above sort.

Results don't really matter either, you just need to convince people that you are valuable. Many people in business don't have any sort of "provable" results but have excellent people skills.

Agreed, Results generally only matter for the low level employee and the CEO. In between you can people your way to a career

And/or good at convincing people he provides that much value.