A.I. Experiments: Visualizing High-Dimensional Space

Check out g.co/aiexperiments to learn more.
This experiment helps visualize what’s happening in machine learning. It allows coders to see and explore their high-dimensional data. The goal is to eventually make this an open-source tool within TensorFlow, so that any coder can use these visualization techniques to explore their data. g.co/aiexperiments
Built by Daniel Smilkov, Fernanda Viégas, Martin Wattenberg, and the Big Picture team at Google.
More resources:
www.tensorflow.org

[@brucenguyen5869]

6 years ago I watched this video and thought to my self, "this is so cool, I hope I get to work with this someday." Fast forward 6 years later, I am a research assistant in machine learning, studying my Masters in data science at a big university. Thank you Google AI team, for not only all the research that you have contributed to the machine learning world, but also for exciting our imaginations :)

[@aimatters5600]

I'm doing my bachlors

[@weakw1ll]

Well done 😮‍💨👍🏿

[@happyjohn1656]

💪💪 10:08 PM 2/28/2023

[@06tausif31]

​@@happyjohn1656 are you also planing to learn machine learning 🤔

[@llawliet9753]

which university?

[@igniculus_]

I was so happy when they said "Open Source"

[@zbzb-ic1sr]

Everything is open source now scikit-learn, tensorflow, etc. I remember the days though when open source was considered crazy.

[@sarahbingham1133]

Ani H. Same. I get so depressed when I see a really cool machine learning application only to find out that it’s not available to the public...

[@watherby29]

@@zbzb-ic1sr Why is it not crazy? How do they monetize open source?

[@gwyn.]

@@watherby29 You don't directly monetize it.

[@chawza8402]

@@watherby29 for example, they open source android but if you want to use Google service to the android you need to pay their service (ex: Samsung, LG, Motorola, etc)

[@dkursada]

This is a so damn interesting work from a small team. And they explained it so well, someone like me who doesn't know a thing about data visualization could grasp the concept behind all of this. -*And it's open source.*

[@markusheimerl8735]

I think you meant "- And it's free to watch." "open source" would mean in this context that the video editing files were made openly available for download.

[@olekristianrannekleiv762]

well said, in just 3 minutes I understood what was just a blurry concept in my head; how AI understands meaning.

[@vastabyss6496]

@@markusheimerl8735 I think they meant that Tensorflow is open source

[@unjogratistheforbiddenmonkeygo]

I clicked this video thinking it was new and was amazed to see it was made six and a half years ago. Wow! Fantastic work, fellas, keep it up! I'm proud of you 👍

[@williamrobert4933]

KZbin's algorithm took me to a video about KZbin's algorithm

[@DASyam-tb7qt]

It wants you to understand it so that you can prepare for Skynet.

[@jakehix8132]

Kind of a 'meet the folks' moment.

[@j0sacas]

this ruined my life

[@victorcoolboy2009]

Weirdly impactful realization

[@KentoNishi]

Imagine if the KZbin algorithm was open source

[@ydfk5218]

This is revolutionary. Even with just the categorization of the words, we could see the extent of our languange and our possible thought patterns.

[@user-eh5wo8re3d]

Its been 7 years, this is still one of my favourite videos of all time. Left a profound impact on me

[@miraclechijioke1213]

As I am currently learning data science, I will make use of this advanced tool not so long from now. Thanks Google team for this.

[@wellygeek]

Wow! This visualisation blew my mind. I am practising machine learning right now and this visualisation will be very useful to let us have a peek inside the algorithm.

[@PinkBoardProducts]

I didn't realize Nikola Tesla and Nikola Tesla were different people. Mind blown.

[@ISILENTNINJAI]

Nikola Tesla (the inventor) had a nephew who was named after him. Look it up.

[@jakesnack6778]

What???

[@riseabovehate9476]

Whaat

[@ORIGINALmanija4]

Interesting how this is only mentioned now, not back when the video was released haha

[@srivatsajoshi4028]

Time stamp?

[@BlueCardinal33]

...This is amazing. It's amazing because the tool can exhibit words that are worth learning and related words. This can be insanely helpful when learning important terms for some field in particular. I can't wait to get my hands on this.

[@kingaragornii9940]

🌟 Them: *"It's open source..."* Me: 😵. 😮. 😯.

[@mirrormirage0]

The best visualization on how a machine finds correlation. Thank you for this.

[@futureshock382]

Open source are my two favourite words in this video And I really love AI, machine learning, & data visualization

[@infocentrousmajac]

This is fantastic work!!!! I was brainstorming some concepts today and I came across this video and it just nailed it for me!!!! Amazing work Google guys and gal!!!! Kudos to you.

[@masoudmaani]

I wish spotify was more like you, and I wish YT actually showed me this sooner. You know the algo is not biased when this happens. Great video, great team, thank you Google.

[@skynite9644]

Awesome work, being able to better intuit machine learning results will lead to much better ML engineering, as well as conceptual breakthroughs.

[@MrAgreeandDisagree]

Nice video. How do you visualize a high dimensional space in the three dimensions that are shown here? Is a type of compression taking place?

[@n1rus]

Wow.. small length video with clarity and awesomeness.

[@josedavidmartineztorres498]

imagine having this exact same data visualization but now changed as buttons, for the most used/common chatgpt questions, welcome to the future.

[@hossein11111]

this is a great explanation! although i do have a quick question, so if we treat a pixel as a dimension doesnt that limit the usage of this technique to simple images? since a more complex image would have many more pixels and thus the dimensions would be massive, wouldn't this hinder the processing time and cluster formation, aka it would take forever for it to form clusters, just a question, if anyone with more experience with ML can chime that would be awesome!

[@stelianoo0]

Like for anything related to OPENSOURCE!

[@vladbalteanu9047]

You people are amazing , this will help me allot for my future project, keep up the good work I wish you the best endeavors.

[@claymore609]

As a visual thinker, I see something similar kinda like a web of connected information, when I ponder on a picticular topic the information and all pertinent information is lifted with it. Very cool.

[@NitishDobhal]

to be honest, Artificial Learning is pretty simple at its core. Just that we have been able to build up fast processors and huge memory capacity that this route has become feasible.

[@philippebaillargeon5204]

Your comment is confusing. First it's either artificial intelligence or machine learning, not artificial learning. Artificial intelligence can be pretty simple I agree, but machine learning is a hard subfield of AI. It can get extremely complex, especially certain subsets like deep neural network.

[@MrSadek94]

Developing more complicated Ai is in some weird way like learning about ourselves

[@superheaton]

Yes. Agreed. I wanted to add if you will, the world we built is a reflection of the human psyche.

[@roiferreach100]

@@superheaton yeah! I was about to say that. and soon they may make it or break it on bots, this is no longer impossible with robots because they have now AI, but what if we are also created the same manner as a reflection from the past of a different being.

[@seedata8351]

@RoiF , agreed. The world will got very fast change in near future. Welcome to watch my channel for more info about data visualization. 🙏

[@violetka07]

love the visualization approach!

[@LinkLegend0]

Good work guys, nice explanation and thanks for open source.

[@kebakent]

For most purposes, it's probably easier to just use PCA/MDS. Unlike t-SNE, a PCA method will give you consistent results.

[@AndrewMeyer]

Nice, that was a very helpful explanation. I feel like I understand machine learning a bit better now.

[@RoulDukeGonzo]

How so? This was guff IMHO.

[@GoldenMoments100]

I've never seen machine learning carried out and explained with approaches akin to multivariate statistics. This is great!

[@RigatoniModular]

Much of many comprehensive ML courses revolve around that kind of approach.

[@JackJohnson-ht9cl]

Dan Bolser Maybe you're just an idiot?

[@RoulDukeGonzo]

Jack Johnson possible, but these grinning cheese nuggets are morons. There are better explanations of the approach elsewhere, and it's not that interesting tbh

[@jrobinson2095]

This is Cool work. Conceptualization/visualization of higher dimensions is a very powerful idea.

[@akhileshtayade1916]

I had watched this in 2016 having no idea of what 'high dimensional space' is. I am watching it again in 2020 and it's making more sense now :)

[@thomas8296]

i wonder, could you use T-SNE to partially decode the Voiniech manuscript?

[@mrdotbryce]

wont help if its unique

[@thomas8296]

Mr.BrYcE What do you mena by Unique

[@mrdotbryce]

Thomas Lowry i do think we'd need a similar manuscript to compare it to if we are to interpret anything from this arrangement

[@thomas8296]

Mr.BrYcE perhaps but it could help to understand the nature of the text and its language.

[@MikaelMurstam]

it has more or less been proven to be a very old fake.

[@shubhammaurya3671]

Remember, once Google refused a project releted to improve accuracy of drones and missiles using AI. Now amazon and microsoft took the project

[@Fanaz10]

respect to amazon and microsoft

[@Soken50]

they still own boston dynamics as well as many war related companies and projects, them refusing one project doesn't suddenly make them angel and microsoft and amazon devils, I'd say Microsoft has the best humanist record so far, especially it's founder Bill Gates

[@miguelcastillo1742]

We will have to defeat those two bosses in the future, and Google will be our ally to save the world.

[@WRLCKSHTXinPSforDestiny]

Amazing, truly splendid! Keep it up team!

[@Jirayu.Kaewprateep]

Once create sample assignment about five years ago those programs in market helps about input dimensional but I think this way make me understand data better.

[@AbhishekBera]

Which software are you using? I downloaded t-sne for python but ended up with a tkinter plot.. How to get that interactive plot?

[@hazel_moonshine]

you need tensorboard (included in tensorflow) and no need to compute t-sne (or pca) yourself.

[@nishadnadkarni7874]

Abhishek Bera I have no idea what t-sne or tensorflow are lol, I'm learning a bit of Python now, if I wanted to get started with AI and machine learning, what do I need? And what are the common tools and software you need for it?

[@vigneshs2886]

+nishad nadkarni Do yourself a favor and start with tf learn python library. It's just a tensorflow library but provides more higher level apis on top of it. So its very beginner friendly anfter that try to use Keras a little deeper and after that go for tensorflow/CNTK

[@samieb4712]

Look up Saraj Raval

[@RatmanSays]

siraj is click bait

[@MikaelMurstam]

Nice explanation. It all makes sense why you built a tensor accelerating unit now.

[@DHorse]

Great work. I was looking for this.

[@thenewone4812]

Mind blowing actually my mind is blower away,this is really complicated.

[@mahoneytechnologies657]

Small Focused Teams are most likely to do the Best Work!

[@chullupa]

If each data point is 200 dimensions how do we represent each data point in 3d space as shown in the demonstrations?

[@goldenhourgaming9714]

I don't think the placement in 3D space is based on the individual "dimensions" more so just a way to visualize it. It's just grouping similar things in what looks like just a sphere. Think of it more like a 3D Venn diagram, the video is more a representation of how AI can find the similarities in an input, not necessarily the visualization of them, just makes it easier for a human to see what's going on, you could as easily export the output to a document, just harder to extrapolate data from a human perspective this way.

[@StreetArtist360]

Time is 21:13 PM 29-Apr-2020 CAT and there are 473 people who do not like this beautiful video. Whats wrong with people?

[@yuvalyehezkel5558]

i just started to get into machine learning and this type of videos give me hype :D

[@Ivan-wb4id]

Nikola Tesla is written twice, as a different person (0:48).Was that on purpose? XD

[@bharatbshetty]

Maybe there are two persons. One scientist as we know. 😀

[@prestante]

That's amazing! But what about sentence structures? They are quite different for languages around the world.

[@thomazmombach9669]

Wow. And open source, wow. Amazing work

[@KristianMischke]

This concept is freaking awesome!

[@tyzxcj34]

Hmm interesting Google and thank you for sharing.

[@gytis321s2]

I'm born in 1995, and Im sure that in my lifetime there will be A.I that can be compared to human.

[@ch535]

Gytis321 S Me too, and I feel the same way

[@LiteAdventure]

go check out exurb1a. He literally makes amazing videos discussing different possible futures involving A.I. and touches on different ideas around life and consciousness. Also, in one video, he says how in the future people might become one giant conscious computer that conquers worlds. It's pretty cool.

[@prestante]

I recommend you to read this book: "Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom.

[@zapy422]

Do you think AI can be emotional?

[@darshan_shah]

Great approach!! Congratulations.

[@davidvincent9436]

that was amazing. I just spent a couple of minutes and it is worth it. thanks for sharing this video

[@TheJysN]

But how do you project this high dimensions down to a 3d Visual model?

[@agamdeepsingh6339]

Exactly my thoughts.

[@vothaison]

So that's how text recognition works.

[@vigneshs2886]

Well next gen text recognition... its still not out to public

[@DavenH]

+Vignesh What part of this isn't public? tSNE has been around for a decade or more.

[@cuchitp]

Vignesh, the first perceptron was written in the 50's and I learnt how to code a text recognizer in my undergraduate in the 80's... the difference today, are that AI and ML is becoming mainstream... so there's more people producing algos, replacing 'old' ways of doing things, such as the activation function 'sigmoid'. There's 'no secrets', behind AI there's just maths , specially tensor (multivariate) calculus, linear and dynamic programming (which are areas of operations research, aka maths) etc...and loads of programming frameworks in python, java, js...

[@astralacuity]

This video explained one tiny component in a very simple way as far as I can tell.

[@chaimaaelfa3343]

good video ,i just have a question what is the difference between these two algorithm the pca and tsne ? i already have some information about the pca but i need to practice more and more , and i want to discover the new algorithm tsne

[@ridael-mehdawe4681]

thanks for the video, guys you mentioned 200 d space, but you show words as points in 3d space.. how you reduced the 197d ?, any info will be appreciated,

[@jemsncrystals]

So no ones talking about Jarvis here, its trippy... Jarvis: yes

[@unclemax8797]

sne and t-sne are not the only methods ( and have their own drawbacks, as every method)... a useful tool in a tool box noch much, not less

[@anushkachathuranga8943]

And each time we run t-sne it shows different results

[@unclemax8797]

@@anushkachathuranga8943 right, and that's NOT surprising! it's stochastic neighbouring, so there is a kind of part of ' randomness' ( which you don't have with a pca for instance, cause it's only the computation of the eigenvalues and eigenvectors)

[@detslutarmed]

love it! finally i can find everything on my computer!

[@sumant9189]

It's so much exciting and so amazing....I love it...and I'm pursuing it.. Thank you so much

[@Dollsofgod]

Let's play a high dimension game, what's 13% and also 50%!

[@mikeguy1899]

Hehe

[@ronpaul983]

What's 4% and also 67%?

[@SuperStriker7US]

Google can do this, but they still can't fix the KZbin algorithm.

[@Ownage4lif31]

SuperStriker7US Team Name:The Last Bosses they sure can, but they won't. Everything they do is in favour for money.

[@SupaKoopaTroopa64]

This is basically how the related videos system works on KZbin.

[@chawza8402]

@@Ownage4lif31 without money, your fav youtube won't get paid or must paid to use the platform.

[@Ownage4lif31]

@Chawza Dark There's millions of ways they can monetize it.

[@Salmanul_]

What's wrong with it?

[@pwnkmrdst]

wanted to comment my super excitment after watching this video, but... NO WORDS!!!!! AMAZING!

[@karelknightmare6712]

Will this tool be able to help problem solving in the near future? For example by finding similarities of actions or whatever intrinsic mechanism, like Newton and the apple. Applications may be everywhere in Physics (maybe this tool could have pointed out ER=EPR), in Medicine (baclofene with alcohol though it was not made for it) etc.

[@T25de]

The SkyNet.Exe. TSNE

[@mastersoftoday]

Hey, can you just hang on with this thing? I translate documents for a living and this is pretty scary. Please stop it, Google!

[@maniacalo2901]

mastersoftoday Sorry bro

[@johnsherfey3675]

mastersoftoday actually they would pay you to make sure the translator is translating correctly and if it can do it's job well enough. expect matinace and double checking document's that was made by a machines.

[@blind1337nedm]

maybe you should write code instead and automate your job :P

[@johnsherfey3675]

+blind1337nedm that's a good idea probably what will happen lol.

[@sertaki]

+mastersoftoday, we all have to come to grips that most jobs (including even creative work) will very soon be much more efficiently done by machines. I suggest to read the following article series to gain a better understanding: waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html

[@alejorabirog1679]

Thank you very much, this was quite informative.

[@roiferreach100]

Wow! Data Visualization is super amazing and scary at the same time.

[@HappyFlapps]

August 29th, 2019 - Skynet becomes self-aware.

[@nano7586]

I see a big risk in the following topic: us humans have spread so much data about ourselves on the internet. What if there's a bunch of neuronal networks that can someday categorize people into "psychologically stable people" and "psychologically unstable people" or so? Why should we trust algorithms that can make mistakes?

[@maniacalo2901]

Truly Outrageous That's exactly what IBM Watson can do now, analysing big data to make sense of it, what you just postulated is entirely possible, but it's doesn't mean anyone is going to be culled for it.

[@nano7586]

If there is something you can abuse, it will be abused. That's how politics works. That's why it is so dangerous.

[@raymondchang8984]

I mean, that's more of an issue with education, and teaching people to know their sources, etc.so that when one person abuses something like this, the masses will ignore it.

[@Naveication]

right now *people* already categorize people into "psychologically stable " or "unstable". so even if a machine is not perfect and can make mistakes, if it makes less mistakes than the people that are currently doing it then that would still be an upgrade, right?

[@reddragonflyxx657]

We have been performing such categorization for a very long time, this is merely another tool in the shed for intelligence agencies. The status quo will remain regardless of AI's success, so don't worry (but feel free to be mad at said status quo). The question of mistakes is an interesting one however. If you take imperfect test, even one with a very low false positive and false negative rate, and use it on a large group of samples (people in this case) with a low incidence rate (psychological instability, which is rarely detrimental to society), the false positives will flood the true positives in the test results, making the chance of a true positive lower than expected in the group of people who tested positive. en.wikipedia.org/wiki/False_positive_paradox

[@UnworthyUnbeliever]

A real time web example is music map website (no commercial intended) The map uses Global Network of Discovery "GNOD" database to sort information with use of this technique. You can check the website by your own, GNOD have its own website that have some cool features too, as well you can check music map site and discover some new musical artist with actual example of how this method works. (Again, no commercial or search-bait intended)

[@commie563]

Thanks for making it open source, It will very useful for my project which I had a similar idea.

[@gabrielkwiecinskiantunes8950]

Não tem como não reconhecer esse sotaque. Kkkkkkkk

[@midasredblade236]

and eventually,....chatGPT

[@raphaelf9]

I really want to learn more about it!!!

[@aledirksen01]

THANK YOU. Exactly what I needed. Been struggling with the theory behind this and how to code it properly and yall just provide it.

[@riyadhf1rdausehh]

I was like "ah glad to live in the future" but then it said open source.. well.

[@vsaucemichaelhere3409]

What is this supposed to mean?

[@Lolerburger]

What are you trying to say here? Open source is good.

[@bubadibaka2974]

And im here . Still learn how to create CRUD with no reload :(

[@zanderceo91]

BuBadiBaKa hahaha. What lil Wayne say? Repetition(and the study of the theory/math)..added that extra part lol. You will be there one day. I believe in you. Stay blessed.

[@KunglawAdy]

use jquery ajax and axios bro. hahahahaha have fun

[@Metalefs1]

Angular 7 is here for you, don't worry

[@ajaysihag3304]

Impressive and much more!

[@iamadityavaishy]

This was really cool. I was totally relating with all the stuff and BONUS was visualising it was awesome. Would be fun to work with Google.

[@Quimper111]

Oh, i thought you had begun to simulate high dimensional space in the physical sense of the word. How disappointing.

[@crymp2057]

Yeah working on some physical problem involving a higher dimensional manifold... the title got me really excited on seeing this.

[@TheOrganas]

Yeah was hoping the same but not disappointed

[@PROJECTJoza100]

Yes

[@minddrift7152]

Well we kinda already did. Let's say you have a room jam packed with books... Well, digitalize them and save them onto a 32gb micro memory card. Boom. Physical space acquired thru the use of a higher dimension.

[@maxim9280]

Some basic stuff. Well presented, though

[@Emilstekcor]

I always wondered introducing randomness into a series of potential images or patterns in the way you have could be used as a means of thinking ahead.

[@mauricioluisvega8342]

it´s very interesting. Im trying to understand and testing code. Very nice presentation...

[@alperyagus999]

donot call them multi dimensional. because those clusters are nothing to do with dimensions. instead define this multi layered op as multi brane app.

[@leonetassinari6654]

Keeper Raziel Everyone of those datapoints is a multidimensional vector. For example the numbers are probably 784 (or more) dimensional vectors with every dimension representing the alpha value of a pixel. In my opinion it's pretty accurate to call them multidimensional

[@astralacuity]

But the alpha of a pixel just a scalar value...

[@G4mm4G0bl1n]

Im a physicist and this is not right. The 4th dimension (Quaternion: ±i,±j,±k & w0) is all what you need to explain a system like this. The color value of a pixel is not a dimension by itself, but can described as 2 dimensional scalar field. The pixel together with its color value is quantumphysical a mixed state and nothing else. So, see the pixel position & color position vector like a clock. You got one positionvector for the location of the pixel and one positionvector for the color value on the scalar field, together they represent the whole data. Thats possible, because the second dimension can be embedded as topological layer inside the fifth dimension. en.wikipedia.org/wiki/Bloch_sphere en.wikipedia.org/wiki/Quantum_state#Mixed_states en.wikipedia.org/wiki/Quadrature_amplitude_modulation

[@margrzen]

Really nice video! btw Marie Skłodowska-Curie...

[@CODMReaper]

the visualizations are amazing, you can quite literally see strong relationships as if it was a working brain.

[@xs1972]

Best video on machine learning!!!

[@fandyus4125]

SkyNet is coming soon, pals...

[@maniacalo2901]

Fandyus CZ Stop it, it's old, give it a rest.

[@fandyus4125]

But it is kinda true.

[@MichaelSHartman]

Whenever I have seen a video on AI it is there at least once. It would be more correct to say Watson and Sophia are coming. The military is not going to take the human out of the loop when it comes to killing.

[@masterofalltrades_]

Fandyus Overused

[@mezzodsp121]

In minute 0.35 and 0.49 Nikola Tesla is repeated but his "dimentions" are different 😅😅

[@G4mm4G0bl1n]

Good to remember Nikola Tesla, but it would be more great when People out there will understand the work of Nikola Tesla. He has the answer for the Quantumproblems in Physics, but look at our age. A whole planet full of naked apes and their goal is just to spread over the complete living room like a virus. Who ever this understand, understands what Nikola Tesla means with the sentence: "If you only knew the magnificence of the 3, 6 and 9, then you would have the key to the universe." www.intmath.com/blog/wp-content/images/2016/06/tesla-map-to-multiplication.jpg When Anton Zeilinger would use another number range would he told us the same numbers. :)

[@LuizHenrique-qr3lt]

very good video, how was the graphic made?

[@tableontilt1014]

Can you explain to what degree or level of dimension we are viewing this at?

[@dj_metanov]

Pi: 3,14156....... Really Beautiful Video !!! I hope it will help a lot of people to OPEN their MIND and SOUL !!!

[@panashe8478]

Pascal Gula And Soul?

[@dj_metanov]

you don't have any? :)

[@mrdotbryce]

that's just 6.283 18 53 07 17958 64 72 halved. no big deal

[@dj_metanov]

of course not !!! :D

[@dj_metanov]

but 2xPi ~== 6,283185307179586477

[@iamyourboss7495]

High dimension space??? 😂😂😂😂in India we call it jatakam

[@domcarter2327]

Erm this is incredible, how does it do that? Look the words surrounding other words and group them if the concept seems similar?

[@PhantomOfPotato]

This is an awesome video! 👏👏👏

[@neilorion9953]

Well... This was clickbait

[@SyrianArrow]

That is an abuse of the words and the concept. This title and description suggest that the AI/Machine Learning system is visualizing higher dimensional space, which also implicitly suggest a type of understanding. Even the narrators state that it is finding a meaning of the words based on their context. This couldn't be further from the truth, as the word "meaning" implies understanding. When speaking in scientific contexts, especially in a subject as Artificial Intelligence, we cannot throw the word "meaning" haphazardly or metaphorically. There is no meaning understood or discerned. What we are seeing is a graphing of data points, nothing more. It is a crude, though respectable, beginning, at trying to relating data to one another. Let us not misuse the language because it will lead to false perception and expectation on part of the lay audience at large when that's the last thing we need.

[@MRTOWELRACK]

Nour Douchi However, the machine learning is acting upon a set of defined drives to identify and assess value in information. The directed activities find meaning according to the laid out requirements of the code (contextualizing the machine as a proactive actor, as it can act independently) and by the people directing it (contextualizing the machine as a passive tool). I've studied linguistics and I honestly don't have an issue with their use of the word, "meaning". Regardless, "meaning" already has a broader definition than what you prescribe, so unfortunately for you, your language is already tainted. Then again, English is a hodgepodge of taint.

[@iLoveTurtlesHaha]

visualization in ML means something different than you think.

[@bryansandiego]

Fantastic job to all of you, still!!!