Need a VPN that I've gone to great lengths to check works in Antarctica? Bam: www.privateinternetaccess.com/standupmaths Want to go to Antarctica and double check it for yourself? Bam: standupmaths.com/antarctica Sick of sponsor messages in pinned comments? Me as well, but this was a real expensive trip and it didn't feel right to make my patreon supporters pay for it. So here we are. Thanks for reading all the way down this message. I doubt many people will. If you're reading this: comment with a bad whale pun.

16:00 "Here we have another creature. Please identify this for my continued cooperation." - Zoey Walker 🤣

Just gotta appreciate the context here: a guy who just started off as a regular maths teacher at a completely normal English school is now going on all these crazy expeditions to spread the gospel of maths.

16:00 "Please identify this [creature] for my continued cooperation" I love this person XD

Putting on the sun glasses just to take them off is 100% something they would do in CSI.

"Please identify this for my continued cooperation." LOL

"Please identify this for my continued cooperation"

I knew after "yep, we are off to antarctica" that you'll follow that up with the " we're gonna have a whale of a time" joke😂

Great job naming the 2 animals in the water. I have become an expert at naming trees. The 6 trees in my yard are named Fred, Rich, Bob, Neeko, Nakko, and Nocko.

To this day I still take a picture and sometimes think, "this would look nice in a spreadsheet" and so I head on over to Matt's website and let it generate my picture as an Excel file with all the conditional formatting

"for my continued participation please identify this creature" - what an awesome science person on your cruise...

I love that at 0:23 you said tourists love photographing "whales of tails"

And here I was thinking that Matt found an intelligent whale using math in its daily oceanic life.

You should name the whale "Parker". After all, if it seems you've discovered a new whale, but it's actually an extant whale, wouldn't that be an example of a Parker Whale?

'Projection Joke,' honestly made me laugh out loud. Well played.

Unsolicited Excel tips: 1) Instead of =IF(A>0,A,0) you can use =MAX(0,A). Given A is very long in your formula this would save a lot of repetition. 2) Excel has built in matrix multiplication in the MMULT function.

Zoe was hilarious. I love charismatic scientists.

I love that the video involves going on a grand adventure to Antarctica, but the headline used to pull in viewers is "I found a whale using maths" - which could potentially have been done from anywhere if provided the relevant data set - and I love that it worked and I and many others really are here for the maths with the globetrotting just being a bonus.

The demonstration of a convolutional layer is really good! Not only is it intuitive, it is also interactive!

Plot twist: The whales are on to us and are busy painting each others tails with squid ink. You think you found Bob the whale but it is George in disguise.

0:22 Photograph the "whales of tails" ?? hahah

About 20 seconds in, I guessed that there would be a "whale of time" joke at some point. I was not, however, prepared for that ending. 🐬🐋

Let's get honest here: Krill Bill is an excellent name, Matt!! 🐳

For edge cases, they really ought to compare where it was found vs how far it could feasibly have traveled in the time between sightings. For instance, it wouldn’t make any sense to mark a whale as being seen in Antarctica, and then seen a day later in the North Pole.

Took me a decent amount of time to realise there weren't gonna be any whales doing math in this video.

I was expecting a call to action for commenting when you were saying "if you think you have a better whale name" so just telling people to get out there and find their own whale is the ultimate KZfaqr call to action

This is so cool. There's a popular app called Merlin that does something similar for birds. But instead of identifying the unique individual you're looking at, it's able to tell you what species you're looking at (most of the time). I wonder if it used a similar neural network strategy.

The look on Matt's face for being right on his animal identifications while interviewing Zoe Walker--real joy.

finally, someone using spreadsheets for its intended purpose.

Excellent video Matt, one small nit I'd add is the convolution doesn't exist to reduce number of *nodes* it exists to reduce the number of *weights*. Functionally you can think of a convolutional net as a fully connected one except you use the same weight for many of the edges, reducing number of parameters by a ton

I think it deserves it's own video to disect the phrase 'the west of Antarctica'

When zoe did the "ding! ding!" It immediately reminded me of the problem squared podcast :)

I'm a little embarrassed for how long I thought Matt "found a whale that uses maths" until I got the correct interpretation of the title and the point of this adventure... 😄

Surprised you never named it "Bowl of petunias". Also I wonder how long that spreadsheet would take on a Raspberry Pi 2? Will it ever be completed? Who knows.

0:22 "...the whales of tails..."

I'm well-acquainted with convolutional neural networks, but I've never seen them visualized in a spreadsheet like this before! This is a really fun way to explain the concept!

Love watching absurd uses of excel.

This is so inspiring. Thanks Matt. Krill Bill is perfect. 👌😎

I'm sure Krill Bill is (or would be) very happy with his new name

Again, I love your content, Matt! It’s you and Fluffy for me when I am looking for a good laugh. But more than just comic appeal, you always have something very interesting to teach me about. Thank you!

I'm sorry Matt, my dyslexia lit up the word "indidividuals" like a huge red flag even if I just saw it for a slit second and now you can't miss it either. Again I'm sorry. Thank you for a fascinating video.

[ Matt Orca from Swim-up Maths ] I found a human using maths! I recently discovered that using clever mathematics, you can algorithmically identify the face of a human from a photograph... ;-)

I liked that bit of you "tweaking the knobs" - It really helped me understand image recognition a lot better than I did.

I'm taking a Computer Vision course in uni right now so for once I understood all the maths before even starting the video lol Very cool video, thanks Matt!

Convolution Is one of those thing that is never really taught or explained in a way that makes me understand it

I love the technique of putting the image on a spreadsheet. It really goes to show how far technology has come. The program we normally use to do accounting and such has image processing power that would have been the envy of 1980s computer scientist, especially for a home machine.

21:40: A preview of the next Pi Day video, in which Matt calculates pi using his nose.

This is such a great video! Love spreadsheets, whale, maths, Antartica, terrible puns. Fantastic!

As a bit of an Excel nerd, the formula Matt starts creating at around 9:44 could be done much easier like this: =MAX(0,SUM(OFFSET(A1,,,4,4)*OFFSET($CQ$4,,,4,4))) Still needs to be dragged to the dimensions of the original "image"

Thank you, this is amazing!

Matt, I've watched and rewatched every video on your channel and I just have to tell you, I love your humor. Its not laugh out loud haha funny, but a sort of "ha, I like that" kinda funny. It really puts me at ease and ready to enjoy whatever fantabulous escapade you have endeavored this time. That csi miami nod was a good one. Keep it up, I love every one.

19:26 Hahaha! "Oh they just said they saw it! Oh come on, those free-loaders!"

What is surprise when your upload contained more spreadsheet math, amazing!

Matt! The length of this video is perfect! 22:22 is neat number! The number 2 is already my favorite and lucky number, but 2222 is even cooler! Twenty-two is two 2's, but two thousand twenty-two is two 22's! Yessss!

I can't stop watching the bit at the end, it's so clean. 10/10 pun and setup.

This deserves to be viewed on the projector.

this is my new favorite video, this is literally machine learning by hand in excel

Channels with interesting content and understandable by such a wide range of backgrounds are so rare. We're having as much fun viewing as you did for writing! Thanks 🎉

Got unreasonably excited when you started talking about werewhales being spotted, before realising I'd probably misheard

Great, spontaneously diplomatic answer from Zoe about whether this new method is more desirable than the old, "I think it's one of the best uses of technology we have." It's natural to recognize the value of the new technology while having nostalgia for the old way.

This was so fun to watch

You did a machine learning demo using match boxes to learn tic tac toe a while ago. That was a really eye-opening visualization. I have since pursued a very machine learning focused course at university and participated in shared tasks to solve other peoples problems (more academic than industry). And it's always fun to compare your failed approach to what other people came up with. So thank you for that video back than.

would SUMPRODUCT have worked on the 2D array? edit: the answer is yes! I checked on the spreadsheet in the description, =IF(SUMPRODUCT(A1:D4,$CQ$4:$CT$7)>0,SUMPRODUCT(A1:D4,$CQ$4:$CT$7),0) does the same thing

This whole concept, from machine learning to integrating the photos, is so COOL

I was bingeing your videos and said to myself "wait, I don't remember this one" before realizing it's a new one 🤩

I vaguely remember that kernel stuff from an image recognition class and I think what you did here was generating the derivative of the image. If there are big changes in an area of an image, the derivative is also high, and if there are no big changes in the image, the derivative is low. It's like the derivative in maths which gives you the slope of a function, ie.e how strong the change is. In this case the slope is the change of the individual pixel values. It blew my mind, because something that was purely mathematical and abstract like derivatives could be applied to identify arbitrary features in images.

I just noticed the education poster in the background. "When all the parts are working." 🤣🤣🤣🤣 It's a very Parkeresque poster.

I'm losing track now; we have the parker square, the parker prime, and now the parker porpoise ? Ty for yet another marvellous vid.

Cool video! I would like to make one small clarification on CNNs. At 7:45 in the video you mentioned that is too many nodes for the NN. However, I think you are mixing up nodes and weights here. The kernels reduce the amount of weights required for one layer, but they do not reduce the amount of nodes and will instead increase it. You did show that some nodes are lost around the edges of the image, however usually people keep the 2nd layer image size the same as the first, and just do some zero padding or something when the kernel goes out of bounds. Instead, what actually happens is you usually end up with *more* nodes on the 2nd layer based on the number of different kernels you have, 93x60x(number of kernels). What then happens to reduce the nodes later down the line is something like max-pooling, or applying the kernel with some "stride" (skip every other pixel). One other reduction in pixel count that is introduced is by the cropping process. However, you might imagine that not all images of whales will be cropped to exactly 93x60 pixels, or maybe you want to automate the detection from a larger image. This would be another process, and there are many strategies on how to handle this (ie: A naive strategy is dragging your CNN across the entire image and using it like a kernel). And one tiny other thing that may interest you: while a 4x4 kernel is possible most CNNs use kernels with an odd number (3x3, 5x5, etc.). While an odd numbered kernel might intuitively make more sense since now there is an obvious "middle" pixel where the kernel is operating on, the actual CNN doesn't really care. It's just for implementation simplicity in the code, especially around the edges of the image. A cool math video to explore would be to show how many weights a CNN has compared to a fully connected NN, and how strides or max-pooling reduces the number of nodes and weights. It's a common question used in interviews for new college grads going into a job involving NNs.

I remember participating in Humpback whale competition on Kaggle. Glad to see these solutions getting deployed in real world.

You should make a follow up video going over the loss function that used. I’m assuming they’re used triplet loss, which is commonly used in facial detection, and I think it’s super interesting.

That excel demo is just beautiful

CNNs are like a sort of blend of machine learning data analysis and classic computer vision. That first convolution layer you created looked a lot like photoshop's "find edges" filter, and it is the same algorithm! Those masks or kernels are used to find areas of interest in an image by calculating which pixels have significant contrast going in a certain direction. There's some interesting calculus there but because pixels are discrete data structures, the implementation of that math becomes just a collection of very simple addition/multiplication. It's been a while since I've done any CV work and I kinda miss it, it's really fun math

17:43 this was a great bit

Only at the ad read and I can tell this is going to be a great video

19:53 " If you think you have a better and or funnier whale name, find your own whale! " You're a funny man Matt. 🤣🤣😂😂

Great ideas in here! I would love to learn more about 1.) how to convert image files into csv files and 2.) about the math behind the filtering! (Excel cells CQ4:CT7) (By the way: In the excel file "spreadsheets_and_tails.xlsx" offered for download (thanks a lot!) there are some absolute/relative reference errors in the if clauses. To correct it, make sure that in cell CW1 all references to columns CQ, CR, CS and CT have two $-signs in them; then expand the formula to the lower right corner of the image.)

"Here we have another creature. Please identify this for my continued cooperation." 😂😂😂😂😂😂😂😂

"Please identify this for my continued cooperation" haha, love it!

For some reason, Respighi's "Pines of Rome" were playing in my head for most of the video

fantastic video! 4:27 "indidividuals" parker moment

"[...] and it wasn't even... on porpoise." Oof. 🤣 Great video Matt!

This is an amazing video using the ubiquitous Microsoft Excel in visualising the convolution (cross-correlation) operation between the filter and input image. Really motivates anyone to give it a try modifying the kernel as they whish and stacking the layers,

love the scene from fantasia in the background.

WOW that is amazing!

4:27 Matt you say “individuals” but it shows “indidividuals” on screen, what word is that? You’re playing with us right? 😂 love the episode.

Love the fantasia 2000 background footage!

"the whales of tails..." Love it. Almost didn't notice 😂👍

The animal identification game was adorable lmao put a smile on my face

I agree with Zoe Walker. This is some of the best use of technology and maths yet.

I'm always amazed by how much utility you can squeeze out of a spreadsheet.

Projection jokes are objectively the best jokes

I love that both the start and the end is the same cliche hollywood put on to take off the sunglasses

I'll admit I was a little bit disappointed that this wasn't about a whale that was found to be using maths.

"If you change random parts of your code until you find something that works, thats called bad programming. But if you do it fast enough its called machine learning"

Flat earthers: You can't go to Antarctica! Matt Parker: I'm in Antarctica playing with spreadsheets and taking pictures of whales.

Holy crap that excel demo was mind blowing.

4:26 indidividuals

My parents went on that ship when they were in their 70's, they loved it!

what an amazing video