Lecture 01 - The Learning Problem

[@fernandoalvarado8840]

This is what I call "A real Professor" , congratulations.

[@akbarghurbal]

Can you imagine this material was on KZbin since 2012! Thanks Caltech and professor Yaser for making it free.

[@dushyantshukla8754]

Prof. Yaser is a great teacher!!

[@SaidElnaffar]

Yaser, you are not just a scientist but also an amazing teacher -- your students must be lucky to have you!

[@tylerwaite8444]

I have gone through many courses attempting to learn machine learning (no pun intended), and this one is definitely the best. 10/10

[@vivekpal7559]

+Tyler Waite Same here and I agree with you. It is the best. Takes you from abstract idea to deeper concepts for better and easier understanding. What other courses did you take btw?...I could use some if there is any I didnt come across on my own.

[@tylerwaite8444]

Besides this one, I mainly looked at the Stanford and MIT OpenCourseWare on KZbin. It also looks like there is one my mathematicalmonk (looks similar to Khan Academy) that I would definitely look into if I had more time.

[@vivekpal7559]

Thanks man...I had never heard of mathematical monk before. Glad you mentioned it. Surely gonna follow his videos.

[@shashanksagarjha2807]

one by Ali ghodsi and Nando de freitas are also good

[@carlosmspk]

My teacher is apparently using this exact course as a basis. The power points are super similar and all!

[@gehadhisham2539]

Very proud of my country Egypt and of the brilliant prof: Yaser

[@AhMedKhaled-om8ly]

مش متخيلة انا قاعد مبسوط منه ازاي طول المحاضرة جودة المحتوي مذهلة ما شاء الله

[@hyiux]

After Gilbert Strang's Linear Algebra course, probably the best course on the web.

[@stanlee8134]

Definitely agree

[@johnk8174]

High praise; so far it seems so

[@chuxabanum297]

Prof. Yaser is a great Teacher. I'm seeing this for the first time (October 2019). Still the best.

[@basitbinmujeeb447]

2021, and still it's a diamond. Kudos to the teacher.

[@luizmt2]

One of the best teachers I have ever seen! Congratulations, Professor Mustafa!

[@VR_Wizard]

If you dont understand everything watch it again I some how missed all the important parts the first time and was confused but then I watched it a second time and it was amazing. I also like how he is smiling if he gets a question he can answer. :D Great lecture.

[@zkzks]

I THINK all machine learning lectures have to be watched twice :D

[@danielgray8053]

It's good to hear this. Yeah I do the same. I'm sick of all the people on here saying they watch it at 1.25 speed. I guarantee I am getting a better job than those people.

[@VipinMaurya9]

For a beginner this is the course I find the best to start with. Thank You Professor.

[@mario1ua]

48:05 It's some kind of revelation. I'm enjoying this lecture so much! Thank you! And Yaser is so intelligent and pleasant person.

[@kashishpatel81]

Great thing is i can learn Machine Learning from one of the best professor in the world and bad luck is even not single professor aware about ML in my collage.

[@WhoForgot2Flush]

You should try a college instead of a collage, you may have better luck.

[@mandos9]

this guy knows a lot about a lot, you can tell by the confidence with which he navigates the subject and how he is aware of the limits of the theory

[@j.freseyolanda1036]

My Learning Algorithm predicts that the professor loves his tea. This is what I call "A real Professor" , congratulations.

[@Nakameguro97]

Crystal clear exposition! This is the best intro to ML I have seen on YT.

[@sinabaghaei3504]

In 2022 still I find his way of teaching way more informative rather than any recourses online or at Uni . great job

[@godfreynyirenda470]

I had to come to comments section and search the man behind this lecture. A wonderful lecturer wish all teachers could teach like him

[@neilbryanclosa462]

This kind of learning resource is useful for providing professionals with the right intuition and conceptual framework in the technology of Machine Learning. More power to California Institute of Technology and Professor Yaser Abu-Mostafa.

[@suvrotica]

This is the best Machine Learning course. 11 out of 10.

[@seebeess]

Am I the only one who's addicted to Prof. Abu-Mostafa's adorable accent?

[@mohamedbalshy3105]

he is egyptian BTW

[@shamsuddeen2004]

I am bro

[@est9949]

No, actually it's hard to understand. The reason I endure his accent is his math talent, which is the most important factor.

[@vickyys3301]

He sounds like king julian from madagascar

[@astaconteazamaiputin]

Nope. It's a really nice accent. Makes everything sound friendly ^.^

[@m13m]

This professor is awesome and funny at the same time.

[@ebtehalturki6329]

Perfect way of giving lesson.. I have never understood ML course this way

[@mwambua]

I'm just getting started learning ML. This lecture provides an excellent overview of the field.

[@marwaelsayed3442]

l came here by chance and i surprised that this prof is Egyptian ,i am really proud of you sir you have a great style in teaching

[@chriswalker4923]

Thank you Professor Yaser Abu-Mostafa and to all you collogues and contributors. Most helpful and enjoyable. I'm impressed with Caltech.

[@anyu8109]

The professor explains everything so clearly! The video and audio have high quality! The questions asked by the students have high quality!

[@jaikishank]

It was great presentation. Kudos to Prof Yaser Abu-Mostafa for the same. It brought clarity on the fundamentals which were not clear from the books.

[@ShoaibKhan_iamsrk]

Seriously, this is the best lecture on #ML available on web. Brilliant explanation and the examples at the beginning (specially the Credit approval one) is well explained and fits exactly into introduction to ML.

[@generalflaviusaetius1997]

who on earth disliked and downvoted this video?..the professor's teaching from just the first lesson has inspired me to research into other ML ANNs beside just the perceptron like the Hopfield NN and gain a megatonne of info...from just the first damned lesson..and i was simply clicking on recommendations goddamit...had no clue about ML..those damned lucky students

[@edvandossantossousa455]

Meus sinceros agradecimentos aos tradutores, ao caltech e ao professor. Conteúdo de qualidade e gratuito.

[@alialk1384]

I think it is the best machine learning introduction I have watched so far

[@shadishadi4478]

Big appreciation for whoever uploaded this video, It's such a huge help.

[@loganphillips1674]

Wow, I could not find any other resource that explained the intuition behind using the inner product. What a great teacher.

[@yifanding7164]

Amazing, best introduction to ML I have heard so far

[@nilarunm]

Awesome teacher, teaching from realization...everything he makes so easy...kind of idol to me, added with his smile and ascent ...yes Sensational..

[@rohitsurana9281]

Excellent lecture. Way better than stanford because of low resolution and poor audibility.

[@GianlucaUK]

Straight to the point with practical examples. After 10 minutes you already know what the course is about and if it is interesting to you. The best Lecture 1 of a course I have seen on any subject :)

[@YashChavanYC]

My Learning Algorithm predicts that the professor loves his tea.

[@Anna_K_]

I think it rather "prefers tea to other drinks"

[@blackwhite1257]

He might be the mathematical equivalent of King Henry, for Professor is one of the best AI teachers ever and King Henry loved his tea

[@williamperroni8357]

Que obra! Por sua naturalidade de conhecer profundamento o que ministra, com generosidade e vontade ao ensinar, que acaba por nos revelar que o mestre é insubistituivel !!! Por qquer processo racional que seja, como eu depreendo daquilo que disseram Gödel, Newton da Costa, Fco. Dória e ai vai ... mestres ... E faz de um autor e professor como este um daqueles que a gente sente que nos liberta pela informação e não o oposto!

[@mathisalwaysright4048]

Great video! I like the puzzle part (53:00) This is the reason why I don't like most IQ tests. They show you just 5 sometimes even unordered pictures and want you to choose the one which belongs to them. There are many solutions usually.

[@yuwuxiong1165]

Enlightening analogy on unsupervised learning (learning Portugal language). Great teacher!

[@ksankar42]

Very well done. Obviously Prof.Yaser has an in-depth knowledge and has put in lot of thought in creating this class. Good work, Sir.

[@StuartBranham]

Love this. Thanks for the lectures CalTech! Perfect for the stay at home, wannabe grad student. (Like me!)

[@khubaibraza8446]

Best lectures of machine learning with clear voice :) Thanks Professor

[@ömer-altinbas]

جهد رائع و عمل عظيم .. مشكور دكتور ع الشرح الواضح

[@ragiaibrahim6648]

Many thanks for making this treasure online. Clear and straight forward.

[@brainstormingsharing1309]

Absolutely well done and definitely keep it up!!! 👍👍👍👍👍

[@hamdisha1]

what a nice Professor : ) Keep going forward to deliver such an amazing lecture.

[@smirned0ff]

One of the most wholesome lectures I have ever experienced, and especially useful for me and my particular situation. Thank you very much indeed!

[@manjuhhh]

Excellent. Thank you Caltech and Prof Yaser Abu.

[@jessicas2978]

Good lesson, really can learn a lot. The best part is easy to understand and very interesting

[@aifan6148]

I like the examples given by the professor! Vivid and thoughts provoking!

[@adityapasari2548]

Wow, superb lecture. Decided to watch the whole series. Thanks for uploading it.

[@faezbhanji9592]

Breathe of fresh air. Thank you sir

[@amalalahmari3716]

2021 , you are still the best lecturer

[@Googlu1]

god has a new name and he has research & teaching interests in machine learning- simply wow Professor Yaser Abu-Mostafa. thanks and best regards

[@ChriNikoS]

Very good lecture!!! He is also answering questions from the online audience!

[@ayaabdallah8915]

Anyone watching in 2024?

[@mehrdadhajiarbabi9621]

Yes, please add more videos on Al

[@khanfahimtajwar01]

Yeah

[@dandevaris9804]

yup

[@amrendrasingh7140]

👍

[@rakuuun4582]

Hello

[@peidaniel4629]

Greatest professor ever seen. Thank you!

[@kameshsingh7867]

Thank you Prof. Yaser, very useful lecture. thanks for sharing

[@19daredevill]

The best lecture series I have seen so far.

[@mohammadriyaz4u]

What a great teaching..!! Salute you Sir.. Very nicely explained and taught.. Thank you..

[@thatguy1000001]

Great first lesson. I'm trying to get better at "skipping the introduction", and this is one instance I'm glad I did. Thanks! :)

[@milanpatel9939]

Exceptional professor indeed !!!

[@intuithue]

This lecturer is incredible

[@lucccar]

The perceptron function hypothesis is actually a logistic regression, that guy makes it quite simple to understands the difference between the hypothesis/target function and the learning algorithm, the later is the true innovation for statisticians and econometricians.

[@adityaavs]

Top Class Lecture. Great Professor. Brilliant.

[@rohailkamran]

Examples of (h, a) where h belongs to H and a belongs to A: (Perceptron Model, Perceptron Learning Algorithm) (Neural Network, Back Propagation) (Support Vector Machine, Quadratic Programming)

[@MattMcConaha]

Ray Romano knows a lot about machine learning.

[@fernandojackson7207]

+Matt McConaha : Raymond, Raymond, Raymond. Everybody talks about Raymond. Only Raymond. E....EEverybody loves Raymond.

[@putinscat1208]

+Matt McConaha Na, that's a young Netanyahu...

[@MrAmgadHasan]

Don't compare this great teacher with a genocidal war criminal ​@@putinscat1208

[@shrikantstu4725]

00:00:27 - Outline of course 00:02:37 - Lecture 1 starts here 00:03:14 - Outline of The Learning Problem

[@parthivganguly2816]

This was a brilliant introduction to machine learning !

[@ChainsawDNA]

What a great teacher!

[@Ashiqrh]

Just started taking the online course and it exceeded my expectations. Love your teaching method and the "practical" topics included. Also thanks for including the QA session.

[@vishalmishra1937]

thnk u caltech n honourable professor for this noble work

[@Raphael0Baltar]

now this is a great teacher !

[@aamodkulkarni8489]

This man is great! Hats off!

[@lilianedeaquino6685]

Wonderful! Many thanks to the channel for providing subtitles in Portuguese.

[@saicharanmarrivada5077]

simple yet detailed explanations

[@sakcee]

What an Excellent Professor!, Caltech Please upload more courses.

[@venkateshprasad6432]

i think one of the best introduction videos to machine learning! :) thanks a lot

[@joxacabe]

Excelent, best lecture on internet 10/10

[@makharsa12]

teaching with passion..

[@lianszhao]

Great course, in depth coverage, and wonderful presentation.

[@tomassandacz6903]

This is simply SUPERB.

[@AhmedAlaa-lm6pt]

Thank you for this great lecture.

[@farshidvarno3864]

Very simple, practical and understandable. Thanks

[@121pooja]

The Great Lecture Sir ,You have put in lot of thought in creating this Presentation . Brilliant work !!

[@0xsuperman]

At 21:36, it seems to suggest the only changeable parts of the ML flow are 'learning algorithm' and 'hypothesis set' which are to be decided by the analyst. But what about feature extractions? Two analysts can be given the same data set but one can extract a better feature set based on a given X, for example.

[@temp9417]

+Yellowknight888 Then that would be a different learning set (xn,yn).

[@spencernash8309]

Yes and if you define the hypothesis set even if it just includes all possible solutions it will only work in a formal system ie a chess game or a game of go. Is it even learning at all? It is certainly not intelligence. In fact it is merely automation of actions defined by humans. Intelligence is the ability to find form a formerly undefined system. Humans are very good at it and do so very quickly. The difference between humans and machines is 4 billion years of intelligent (biology finds form out of a formless system) evolutionary learning that resulted in receptors and effectors that interact with the world. My research points to the fact that the actual human learning algorithms are extremely simple. The complexity comes from wiring 15 billion sensory and motor neurons into the brain. This simplicity is inevitable because neural intelligence emerged out of evolution so has to be based on simple units. The eye is a pin hole camera. The brain is a network of weighted balances provide more, less, the same information in continuous fashion. www.legonomics.org

[@raveeshsharma9236]

Awesome Video.. A must watch for any person interested in Machine Learning OR any person who wants to get interested in Machine Learning :)

[@tuke3541]

Man... They had a better teacher in 2012 than ive got in 2020

[@BoJack32]

I encourage people to watch this lecture at 1.25x speed.

[@thomaselder4076]

Jim Gorman I stepped it up to 1.5x :)

[@nouyed]

Jim Gorman Very useful tip ! I recommend it too. :)

[@xThoth19x]

Iqbal Nouyed Gunna one up you at 2x :P

[@drbonesshow1]

Jim Gorman As if these people don't talk fast enough.

[@artispeedy]

+Jim Gorman I kind of like this guy's voice though, and it doesn't sound as good at 1.5x speed.

[@walterjuskamaytadiaz3413]

Excelente la introduccion al curso. Muy buen profesor.

[@alexandrefelicio3902]

Great PRofessor! Excellent class!

[@马赛克斯]

Very interesting and practical, a good start today!

[@WhyMe432532]

Brilliant lecture and brilliant lecturer. Thanks.

[@cici_julja]

I like his pronunciation. I'm even able to listen to him without subtitle.

[@ZhaoXiliang]

Great lectures，wish more videos from the professor

[@arwanasri8179]

أفضل محتوى شكرا جزيلا لكم دكتور ياسر