Support Vector Machines Part 1 (of 3): Main Ideas!!!

[@statquest]

Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/

[@duniya-wale]

How much price Is it available in India

[@statquest]

@@duniya-wale Yes, it's available in India at a special price. See: quratebooks.com/shop/book/9798986924021 or www.amazon.in/dp/B0BRQ4K43L

[@hackerbf8160]

@@statquest How about China?

[@statquest]

@@hackerbf8160 It's being translated into Chinese. I don't know when it will be available.

[@ugururesin8405]

I am a PhD student in the field of data analytics, and took some machine learning classes, but this... Just WOOWW! You're a significant value for the world!!!

[@statquest]

Thank you very much!!! :)

[@overratedisoverrated930]

hangi üni hocam?

[@PaulXiaofangLan]

The professor makes the most complicated concept the simplest.

[@zainabkhan2475]

M a PhD student in climate change and learnt a lot here... Cannot thank enough!

[@eugenechng3184]

Uğur Üresin Josh Starmer’s p-value is

[@lemmiTry]

Someone said, "You understand a subject when you can explain it to a 3 year old". Your teachings show how well you have understood the things you teach us! Great job!!

[@statquest]

Thank you very much! :)

[@AlvaroALorite]

I think it was Richard Feynman

[@MIZRAIM1984]

That's is true! The people like Mr. Starmer must be awarded by gold for such an awesome teaching. Supertalented professor!

[@lakshyabhardwaj9541]

@@AlvaroALorite einstein also said something similar but that had 6 year old.

[@khalmaxroboticsgh3176]

The teachings are simply perfect..I recommend Statquest to everyone 👌

[@noahsplayground2564]

Andrew Ng got me off to a good start a few years ago, but Josh is hitting it home for me. Thank you!

[@statquest]

I'm glad the video is helpful! :)

[@yancheeyang2918]

I have trouble with understanding Andrew Ng. Do you think watching Josh's videos will help me understand Andrew's better? I am trying to get a little deeper into the mathematics.

[@isaacpicon169]

@@yancheeyang2918 Depends on where you have to start, I would suggest Khan Academy and doing their mastery exercises (You need Algebra 1 and 2, statistics and probability calculus and multivariate calculus) , and for a linear algebra course I suggest the MIT open library course. On Andrew course you use octave but I suggest you take MIT intro to programming with python.

[@saifnasir2949]

@@isaacpicon169 Andrew confuses the shit out of me, especially in neural network and SVM

[@Elitea20]

STATQUEST STOP showing up when I search up complex topics that my lecturer cant explain IM TIRED OF YOU HELPING ME OVER AND OVER AGAIN

[@Elitea20]

Every word my lecturer says is a terminology alert

[@statquest]

bam! :)

[@HeduAI]

Went to grad school at Stanford University and took many ML/Data Science courses; then spent 5 more years as a deep learning research scientist in some of the top tech companies......but who taught me what SVM kernels REALLY were? StatQuest!!!

[@statquest]

BAM! :)

[@nirmalkarthikeyan7346]

This is literally the first time I'm actually commenting on KZbin. You, sir, have achieved, single handedly, something that my professors, textbooks and several additional resources have failed, in 20 minutes. The level of understanding that you have of Machine Learning is just remarkable, and your delivery makes sure I don't get bored, no matter how long the study session is. Can't remember opening Part 2 of an educational video with such enthusiasm. Will support as soon as I can. Keep it coming!

[@statquest]

Thank you very much! :)

[@friktogurg9242]

@@statquest Can we call the blue parallel lines at 7:48 margin boundaries?

[@statquest]

@@friktogurg9242 I suppose so - usually we just call them soft margins.

[@osielvivar2552]

"BAM" is a perfect way to let someone know they just missed some key information. Great video

[@statquest]

Thank you!!! :)

[@karimafifi5501]

After watching a number of tutorials explaining SVMs, this by far is the best one.Thank You.

[@statquest]

Thank you very much! :)

[@pptmtz]

Every time I have an ML homework I come back to this channel to check or review the concepts, it has always helped me a lot, thanks again.

[@statquest]

Happy to help!

[@prestoX]

Your capability to condense so much knowledge into 20 mins is more than remarkabel !!

[@statquest]

Thanks!

[@sachof]

ULTIMATE BAM: You make me understand kernel trick in few minutes where nobody does !

[@statquest]

Hooray!!! Thank you very much! :)

[@fuqiangchen9253]

@@statquest where can I find your kernel trick video?

[@lashlarue7924]

Meta-Bam to the infinite nth degree.

[@statquest]

@@lashlarue7924 Hooray! :)

[@tokenoftime8599]

I consider myself a competent programmer and reasonably good at math, yet I couldn't grasp how SVMs work only by reading my textbooks. This video is so much better than the several pages of formal definitions and mathematical proofs -- formality is very important but it's not the best way to introduce new concepts for learners. You did an amazing job and helped me a lot. I'll be buying one of your t-shirts as soon as I get some money. Thank you!

[@statquest]

Thanks!

[@melakuhailelikka]

This 20 minutes presentation give me more clarification than my 3 days effort on other sources. Extremely grateful.

[@statquest]

Awesome! :)

[@mujeebrahman5282]

Absolutely spot on.😂

[@statquest]

@@mujeebrahman5282 Thanks! :)

[@dhananjaykansal8097]

This is beyond my imagination. You're blessed to teach and make people understand really really well without any human interactions. Keep it up! God Bless You! Cheers!

[@statquest]

Thank you very much.

[@biswajitpattnaik3433]

More about kernels plz.this one is also a gem from u

[@oscarfusterhernandez9205]

Hello, I think the least I can do is to thank you for all your videos: 1) You make complex stuff just so easy 2) You explain very clearly and provide nice and well-explained examples in which you show how proficient you are in all these things 3) Your little jokes make us enjoy the lessons so much 4) You save us all from our tricky situations like complex assignments without having a proper explanation and feeling as if we could never understand this stuff. Thanks again in case I have not expressed my joy clearly enough

[@statquest]

Hooray!!! I'm glad you like my videos so much! :)

[@tngjunwei1518]

I really like how Josh breaks the concept into smaller, easily-understandable parts. All the 'psst' and 'bams' may sound disruptive, but they actually worked well by signalling the important concepts the viewer should know. Good job!

[@statquest]

Thank you very much! :)

[@chrisidema]

It's annoying and cringey.

[@TheNazbul]

this bam and pist is important some people. i like those sound. its not disturbing me. i am enjoying it.

[@xavecoding]

You're the best, Josh. Your teaching methodology should be the standard for any undergration courses. Please, keep doing this amazing job.

[@statquest]

Wow, thanks!

[@Sidneycrosby8ization]

This might be the greatest source of knowledge on the internet. God double bam bless you Josh

[@statquest]

Thanks! :)

[@leif1075]

@@statquest But you only add more dimensions when you have more than 2 categories like sick or not sick or more than 2 propertie being measured right?

[@statquest]

@@leif1075 The number of dimensions doesn't depend on the number of categories or properties being measured. In fact, the RBF has infinite dimensions. For more details, see: kzbin.info/www/bejne/iqDIpWZ7nrh5ma8 and kzbin.info/www/bejne/h5SYeqyCjMSbpNU

[@leif1075]

@@statquest then why the squaring then..thought it wasonly when there was 2 properties like you said in the video?

[@statquest]

@@leif1075 What time point in the video, minutes and seconds, are you referring to?

[@Zaxjz]

You are a true savior, almost all tutorials and courses begins with a bunch of matrices and Greek letters, which is extremely painful to me. I love how you start with 1 dimensional graphical example, which is super straightforward, and your teaching method inspire viewers to actively think instead of feeding us stuff. The visuals are super neat, simplistic and well designed, and I love the humorous language you use to actually make math interesting. Awesome job!!

[@statquest]

Thank you very much! :)

[@PremiumTrackerSilverStacker]

It's amazing you got 600k people to watch a video on this topic. I didn't expect there to be 600k people on earth that understood this topic.

[@statquest]

:)

[@dianasatapathy594]

I always play videos in 1.5x but I played every video I watched of yours in normal mode because the way you taught was brilliant and it got me held and I didn't move till I finished it. Great job Josh. You made machine learning my favorite because of your way of teaching. God bless you. Keep posting more content :)

[@statquest]

Awesome, thank you! :)

[@haubir95]

You're a genious man. In this field where most reports are too complex and tiring to read, this video actually gave me more energy while learning. Nobel prize for you

[@statquest]

Awesome! :)

[@razzlfraz]

This is easily the best SVM explanation. It's far better than the lecture at MIT about it I took years ago, which says something. MIT often has some of the better lectures out there, but this blows it away. Thanks Josh S, keep up the great work!

[@statquest]

Thank you very much!!! :)

[@3rdman99]

I'm so glad to finally find the channel about ML where the speaker actually understands the topic and thus able to explain it in the concise but well-explained manner. It also helps tremendously that it's by somebody whose English I understand. Most of videos I've found are lacking in both.

[@statquest]

Thanks!

[@Pmarmagne]

Every time I'm about to give up on my quest to learn machine learning, you come to the rescue!!! Thank you so much!!

[@statquest]

Hooray! :)

[@dahailiu2067]

BAM!!! This is the most intuitive SVM tutorial I've ever seen. Thank you for your contribution to humanity.

[@statquest]

Thank you! :)

[@ABCurry30]

my Intro to ML was just ridiculous and this thing is GOLD. Pretty much all the info gets injected to my veins directly so I don't think I'm forgettjng any of this any time soon!

[@statquest]

Hooray!! That is awesome. I'm glad you like the video. :)

[@yaldayazdanpanah2104]

I'm speechless! This video, you, and your humour! You're a gift to the nerdy/solid world of CS! Thank you very much for your time and effort on videos like this. It was simply amazing. AMAZING!

[@statquest]

Wow, thank you!

[@bitbyte8177]

I was scratching my head for the past few days on SVM and almost lost hope. Man I just found your channel. Got cleared right away on the first go. Thanks a ton. God Bless.

[@statquest]

Glad I could help!

[@jaymzleutz]

What a nice approach. A lot of books in a 20 minutes video, not missing ANY important info. You are an artist. Thank you.

[@statquest]

Wow, thank you!

[@thecsmedic]

I notice you interact with every comment - I just want to say the attention you put to your videos and the community you've built is amazing, you've made me love data science and I wouldn't have given it a chance if it wasn't for your explanations

[@statquest]

Thank you very much!!! I'm glad my videos are helpful. :)

[@RaviShankar-jm1qw]

I am watching it for the n-th time and everytime I tend to understand the concept better and better. Awesome Josh!

[@statquest]

Hooray! :)

[@thomasmatthew7759]

Finally, you're explaining SVMs! Been waiting on this for a while

[@statquest]

Thanks!

[@chandub139]

This is probably the most elegant explanation I have seen on SVMs. I feel like I have hit a jackpot after coming across this channel. You sir, are a LEGEND! BAM!!!

[@statquest]

Wow, thanks!

[@carmenjung2200]

I didn't understand my professor's lecture entirely so I decided to venture onto KZbin. I am so glad that I found your channel! I actually UNDERSTAND it!!! You make STAT so much easier to understand!!!!

[@statquest]

Happy to help!

[@zishiwu7757]

Hi Josh, thank you for making these amazingly videos. I took a machine learning class where the professor made slides from the Pattern Recognition and Machine Learning book by Christopher Bishop. I could not understand the material very well back then. But you have made it much clearer by using visual examples to give an intuition behind what the math.

[@statquest]

Thank you, and thank you for your support! :)

[@yogeshkumarshankariya642]

Amazing sir, I am currently pursuing an MBA in Finance(Major) and Analytics(Minor), but I have never seen such types of explanation. Love you from India Sir.......

[@statquest]

Thank you! :)

[@TehWhimsicalWhale]

After reading through SVM algorithms for the majority of the day not knowing what was going on exactly, this has been extremely helpful. Thank you!

[@statquest]

Glad it helped!

[@maliknauman3566]

You are a gift to the students struggling to understand these concepts which universities are failed to deliver!

[@statquest]

Thank you!

[@MrNitKap]

🙏🏻Great. I had been postponing reading on SVM...then finally started with this video. It explains things that would have Einstein’s approval ‘if you can’t explain it to a 5 year old, you haven’t understood it’. This video can be understood by anyone and everyone.👍

[@statquest]

Thank you very much! :)

[@amanzholdaribay9871]

This is truly the best explanation of SVM I've ever seen! Thank you very much!

[@statquest]

Hooray!!! :)

[@ianbelloli231]

Incredible job. Way to simplify ML concepts to the point where a 10 year old can understand them.

[@statquest]

Thanks! :)

[@prasannas2186]

The most clear explanation of SVC and SVM with simpler jargons I have ever seen. Thank you

[@statquest]

Thanks!

[@ashokdhingra4]

For the first time, I am beginning to understand AI/ML, thanks to your videos.

[@statquest]

Happy to help!

[@aleksandramazurek1364]

I have no words other than: WOW, Bam! Thank you! What you are doing is amazing!

[@statquest]

Thank you very much! :)

[@vedantjain03]

Just wanted to state that a 'like' and comment here wont convey how thankful i am for this video :D Keep up sir !

[@statquest]

Thanks! :)

[@grimslade0]

I was sitting there desperately trying to revise and cram in all content before my postgrad Statistical Machine Learning exam. I then heard a scratch on my window, I was in disbelief upon realising it was Josh! In my awe-struck state I fiddled about and managed to open the window, Josh climbed through. "How did you get to Australia so quickly?" I shakenly asked. "Non-linear models" Josh answered, of course it was non-linear models, how could I forget such a sim- "Don't be embarrassed, we're all noble adventures on the Quest of Stat" Josh kindly said. I was nervous at this point, I didn't really know what to do, but I felt Josh's presence to be a benevolent one. Josh then approached and whispered in my ear "double bam", and we were then immediately sent to the astral-hyperplane in which we skipped around in checking out representations of models in 4d, 5d and even -3d realms.. I cannot describe such a place, it was beyond human comprehension. I still question whether or not I was meant to see such a realm, but regardless I have faith in Josh. After what felt like an eternity, Josh told me it was time to return to the 3d, regular plane realm, well he reminded me that it's still a hyperplane but because it's ordinary to not worry about that.. but that's not the point. I asked if I would pass my exam and Josh said that he classifies it with a high likely-hood. I also asked if anyone would believe my story and Josh said "no bam". I then woke up at my desk, and 5 minutes had passed since Josh supposedly arrived at my window. I guess I need more sleep. By the way, great video. You're a legend Josh!

[@statquest]

This is the best comment I have ever read. You are true poet!!! :)

[@grimslade0]

Well that's very kind. :) I hope my sleep deprived comment gave you a good laugh. And thank you for all your hard work! It's clear everyone, including myself, is very grateful and appreciative!

[@statquest]

My only hope is that you pursue writing at a serious level! It brought a lot of joy to me.

[@kaustubhkapare807]

This is the best possible explantion of SVM on KZbin

[@statquest]

Thank you!

[@GamechatCZ]

Binging every video on this channel will finish my machine learning class for me

[@statquest]

bam!

[@joseluisbeltramone599]

Clap, clap, clap! I loved your explanation. Fantastic! Thank you very much!

[@statquest]

Thank you! 😃

[@techpilot5469]

The BAM keyword makes more focused to video! [ Terminology Alert : please don't read comments while watching video ]

[@statquest]

Nice! :)

[@jay-rathod-01]

srsly but overdose of bams make me obsessed with it but a little ........ too.

[@manasvitrivedi9657]

That was the perfect "Helloooo" to get anybody started off with a study session!!!!!

[@statquest]

Bam!

[@Sickitung]

wow what an absolute goldmine of a channel this is

[@statquest]

Thanks! :)

[@shihaowang152]

I hold a Robotics Ph.D. degree from a prestigious university and I have to say that this video is way better than the lecture I took in my graduate school. Good job!

[@statquest]

Thanks!

[@gitarrtoken]

Wish more people talked to me like Im a five year old! Really great video, thanks!

[@davidbalakirev5963]

When you see that learning could be so enlightening (and entertaining) your motivation skyrockets. Thank you!

[@statquest]

Thank you very much! :)

[@rajanikantswami1472]

Man this is the best video on support vector machine I have ever seen

[@statquest]

Wow, thanks!

[@karnv.n81]

This man has beautifully submerged ease and lightness to dissolve some unconsciously built weight and stress of concepts.

[@statquest]

:)

[@pablo_costas]

"Bam ? No, no bam". I died

[@statquest]

bam!

[@dakshsagar2839]

Would appreciate a video on word2vec, and thanks for the awesome content 😃

[@kemalsulhigundogdu]

This is the best explanation of SVM .

[@omersavran9954]

That was a very clear explanation, The best part of the video is when he says "... I don't know how to draw a 4-Dimensional graph..." :D

[@statquest]

bam! :)

[@glokta1]

You're the kind of teacher I aspire to be for my classmates. Incredible job. I cannot thank you enough

[@statquest]

Wow, thank you!

[@anaswahid8520]

Hello sir I belong to India I like your videos 😊 because you explain everything clearly You reduce tough things into simple form Sir also make videos on (Negative, geometric and hypergeometric) distributions only if you have free time These topics are not available in your playlist

[@statquest]

I'm glad you like my videos! Thank you. :)

[@bababuss9656]

This video was incredible. Thank you so much for that !. Best Wishes and health in these quarantinetimes. Marcel.

[@statquest]

Thank you very much! :)

[@heatherhutchinson3625]

14:18 BAM indeed! a really beautiful, mind-blowing scene for first-time learner like me!

[@statquest]

Hooray! Thank you very much.

[@firesongs]

Literally the first time i understood what a hyperplane is. That whole section on flat affine subspace may sound repetitive but it definitely helped me ultimately understand what a hyper plane is.

[@statquest]

Hooray! :)

[@andersson_r]

Josh you deserve an award for the entertaining way you simplify intuitively complex concepts!

[@statquest]

Thank you! :)

[@0sodrak]

Great video man, it was very clear and easy to keep up. Thank you!

[@statquest]

Thank you!

[@KevinPan-lu1xv]

I can tell that is the most passionate 'Yesssss' in the world

[@statquest]

YES! :)

[@silsabelasilsabela4578]

I'm in love with ur way of explaining 😍

[@statquest]

Hooray!!! Thank you very much. :)

[@samrafarooq9402]

Your in-depth understanding of the concepts is the real reason behind such wonderful videos Josh.

[@statquest]

Thank you!

[@eolseegoo9201]

In just 20 min, I clearly understand what SVM is, thanks to your wonderful presentation. You are a awesome teacher!

[@statquest]

Thank you very much! :)

[@chiragpatankar2013]

BAM!!!! I was waiting for this video for so long. Thankyou Josh!!!❤️ Love from India❤️

[@statquest]

Hooray!!! :)

[@cheickoumarkouyate8445]

Psst! In KZbin jargon, That's the best video about SVM

[@statquest]

Thank you so much! :)

[@nathanx.675]

When my Machine Learning professor is being a total noob, I come to the StateQuest for help.

[@statquest]

Awesome!! :)

[@Bobby-bz8bk]

Hands down you are the greatest educator I have ever come across. Amazing work, thank you!

[@statquest]

Thank you very much! :)

[@kunalsingh153]

I have exams tomorrow revising through your videos made it 10 times easier thanks man

[@statquest]

Best of luck!

[@varunvelpula4516]

This IS AMAZING MAN! Keep up the great work!!

[@statquest]

Thanks! :)

[@FMH201]

I only subscrubed for the "BAM? No, No BAM"

[@statquest]

:)

[@txisbest2010]

I was annoyed by the "Bam" at first, but it has really grown on me...

[@statquest]

BAM! :)

[@joem8251]

...the BAMs haven't grown on me but the content is great.

[@sangameshmurgad3931]

This is one of the most lucidly explained machine learning channels. I am a big fan..... god bless you josh....

[@statquest]

Thank you! :)

[@vasundhrabisht8941]

Omg I can't thank you enough. I couldn't wrap my head around SVM no matter how hard I tried, the math and the terminology always overwhelmed me. But your videos are so easy plus you make it fun with your music and jokes and the special effects- Support Vector Machines (echoes) Thanks for such amazing videos. I wish you all the best in life. You are an angel for ML enthusiasts

[@statquest]

Thank you very much!

[@lashlarue7924]

3:30 - "bam? No. No bam." 😂😂😂

[@statquest]

:)

[@buffetthomas7763]

Amazing video ! The fact that everytime you go from low to high dimension to keep it understandable is reaaaally nice.

[@statquest]

Thank you! :)

[@camilogarcial11]

Just understanding your videos makes learning English worth it. Thanks and congratulations

[@statquest]

Glad to hear that!

[@agb2557]

If only the 2020 pandemic was instead a bias/variance tradeoff pandemic (which plagues all of machine learning) things would be better :(

[@statquest]

;)

[@tapasyasharma7297]

Your videos make it so so so easy to understand Stat concepts! Please never stop!

[@statquest]

Thank you! :)

[@mrodek]

Soo grateful for the work you do!!! Working on my masters in analytics and you consistently distill the topics I find myself struggling with in lectures into the simplest form - thank you

[@statquest]

Thank you very much!

[@souradipsanyal1608]

Please carry on all the good work.. You're a beacon of hope for us ML enthusiasts, the only KZbin channel I am glad to support.

[@statquest]

Thank you so much for your support! :)

[@souradipsanyal1608]

BAM!!

[@vatsalkachhiya5796]

This is thee best lacture on SVM I saw in my live. this guy explains it so well. I'm your fan now.

[@statquest]

Thank you! :)

[@jinkato5412]

Can you be my dad?

[@statquest]

:)

[@kg3217]

The first video I had watched on your channel... And now I have just been going through your playlists the past days. Thanks a lot :-)

[@statquest]

Thank you!

[@sagar786able]

You saved my day. You are amazing. I literally have no words to thank you. In my journey into the amazing world of data science, your channel is the best resource I could ever find. I actually came here to understand SVM while learning the ML Course from Stanford on Coursera. I could not understand all the long mathematical equations there but now, I feel very confident. Thank you so much for creating this content and sharing it with us. God bless you always.

[@statquest]

Thank you very much! :)

[@Aklidien]

Hi Josh - I would like to say a huge "Thank You" for what you do. These videos take an amazing amount of work and expertise, and I really can't think of any other medium that comes close. Even when the math is above my level, I can follow "small bam" / "Bam" / "BAM!" and pick up the nuances from there. So in short - thank you for what you do, your material could cover 4 years of college 5-times over, and I appreciate the monumental effort you put into these videos. THANK YOU!

[@statquest]

Thank you very much! I'm glad you appreciate all the time I spend on these videos. You are correct - each one takes forever to make - but I love doing it. It's my favorite thing to do.

[@Chloe-xb6yn]

This video is LITERALLY super helpful for ML beginners!!

[@statquest]

Glad you think so!

[@rishisingh6111]

I wish there was an option to choose "super-like"! This is simply a gift; thanks a ton!

[@statquest]

Thank you!

[@martinparidon9056]

What an amazing video. Thanks a ton man. As a software engineer with some small knowledge of machine learning in the back of my head, this is incredibly useful. Exactly the right speed, nice pictures and great narrating voice. Also the little jokes now and then help A LOT for a nervous ADHD kid like me. Thanks man.

[@statquest]

Awesome! Thank you very much! :)

[@sniff4643]

i'm just happy the comments are indicating you get the love you deserve

[@statquest]

Hooray! Thank you! :)