Learning about Machine Learning! – While True: Learn() Gameplay – First Taste

Welcome to a first taste of While True: Learn()!!

Let's learn a little about machine learning while puzzling our way through satisfying problems as we grow our bank balance and decorate our cat!

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This series is best viewed through the playlist:

First Taste: While True: Learn()

If you enjoy this video, you might also enjoy:

Let's Play: Autonauts

Let's Play: Gladiabots (AI Combat Simulation)

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Special shout-out to the wonderful @kayandp for her wonderful artwork!
Check out more of her work here:

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As a machine learning specialist you use visual programming to design artificial intelligences (AI) and teach your AI to do what your clients need. Work as a freelancer or become CTO of a startup. Earn money, buy cool outfits for your cat and learn how machine learning really works!

#AI #MachineLearning #EarlyAccess

Find out more:

Videos are commentary & transformative in nature, as defined under the 'Fair Use' policy of copyright.

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Keep in touch via:

Check the 'About' page for P.O. Box information, and e-mail address :)

[Aavak]

Been a while since I did a first taste; let me know in the comments if you want to see more of these sorts of one-offs :)

[svendubbeld]

"We don't need to test this, we know that it works".

Famous last words! ;)

[MarushiaDark]

I love that Aavak is an unlockable character in this.

[ErikHolten]

So nice to hear the comments of an AI academic player of the game. It's come a long way since I first tried playing it.

[duffduff]

An interesting diversion from stuffing mushrooms and body parts into our tardis trousers :) more please

[chrisham]

Always nice to see something a little different on the channel. Always love the main series. However It is refreshing to see something that you seem to be having fun with ^-^

[Scyloch]

Always happy to hear your opinion on games you find worthy of your time :)

[CraftySeniors]

I do enjoy seeing these little one-offs to have a look at a game that I may or may not enjoy playing. This one wouldn't work for me, although I know there are many who would love it. But I did enjoy seeing the game... and love that cat-Aavak!

[Blendrman]

3:48 Aavak, you have a degree in ML/AI ? That's so cool!

I'm doing a soft computing course in my EE undergrad course currently. Nice to see a game that gamifies learning neural network algorithms!

[Atomizer]

Already bought this game before I even finished watching this video, profile picture for context.
Thanks Aavak.

[GiantParfait]

This is not my thing. I did watch all of it because I enjoy seeing new games / refreshing games that's aren't just hack and slash. I'd watch this but probably not play.
Thank you this! I love these kind of videos.

[snickersnaps]

Aavak cat models and Warhammer: 40k space marine cat figurines? These devs seem awesome!

[MIGUEL]

This has been in my wish list for a while, glad to see you playing it

[Doriide]

I enjoyed watching this. Really liked when you explained some of the real world side of things. Winder if they have a "deep blue" level.

[zarakino]

Reminds me a little of Human Resource Machine, concepts of programming to solve puzzles.

[tim.dedopulos]

This seems interesting. A bit less fun than the thing with the wind-up logic bots making dinner and a shelter for lazy aliens, but it's definitely got potential.

As for first tastes, yes, absolutely! Always interesting.

[i_mterra]

Please do some more, this is awesome!!

[AngelicDirt]

That cat-you is frighteningly accurate. Bad enough you speak like a Cheshire, sometimes. :P

That name was Bruce Byu-cannon (phonetically speaking). He worked on a ton of early AI stuff, of course. It is also the name of a hockey player. Yay, Google. :v

Back to the cat, i think it's one of those werewolf cats. They have killer-awesome hair. Look like rockstars. :B

[LordNightsorrow]

Aavak, when you did the Circle/Square/Triangle Sift, would you gain anything to have the squares be sifted first? Since they where more then 50% of the total amount of shapes to be shifted, having them removed at the first sift, would that make the second sift be more effective, as in, having fewer shapes needing to be sifted twice?

[MRNZSD]

Would like to see more of this game, I think it deserves more than just a simple taster