Lecture 1 "Supervised Learning Setup" -Cornell CS4780 Machine Learning for Decision Making SP17

Cornell class CS4780. (Online version: tinyurl.com/eCornellML )
Official class webpage:
www.cs.cornell.edu/courses/cs4...
Written lecture notes: www.cs.cornell.edu/courses/cs4...
Past 4780 exams are here: www.dropbox.com/s/zfr5w5bxxvi...
Past 4780 homeworks are here: www.dropbox.com/s/tbxnjzk5w67...
If you want to take the course for credit and obtain an official certificate, there is now a revamped version with 118 new high quality videos, made just for this course, offered through eCornell ( tinyurl.com/eCornellML ). Note, however, that eCornell does charge tuition for this version.

[@05me39]

Pure gold. The lectures are excellent. The humor is spot on. Many many thanks.

[@hassamsheikh]

After lots of thinking, I have came to this conclusion that I can never be as cool as Kilian.

[@dantemlima]

What a great teacher! Congratulations professor Weinberger. Thank you for making this invaluable resource available.

[@camilogarcia9459]

I just realize that the written notes were in the description. One of the best classes I have seen on KZbin. Thank you very much!

[@Mihai-mb4ew]

Amazing, the world needs more teachers like you, sir! Stopped by just to take a look but you made me watch it all!

[@DeadFalkor]

Thank you so much Professor Weinberger and Cornell for posting this on YT!

[@abhinavmishra9401]

These lectures are therapeutic, released my months of pain. Many thanks for this amazing initiative Prof.

[@You0nlyLive0nceYOLO]

Thank you so much for sharing such incredible content. People from around the world are watching and learning. Greetings from Ecuador!

[@bhargavjoshi430]

I have never watched/read anything that articulates machine learning like you do sir. The world needs more teachers like you. Thank you Dr. Weinberger!! :)

[@Nikster7]

Thank you Professor Weinberger! This is the perfect conclusion to the online ML class I'm enduring elsewhere. Your teaching is gold.

[@iaroslavakornach]

OMG! I'm in love with this guy! the energy he has makes me want to learn ML!

[@lonewanderer26]

Love your team's work on the DenseNet. Thank you for making these videos!

[@k98killer]

Always good to cover the basics periodically. Thanks for posting these.

[@RoyalMamba.]

I'll be honest , I was just searching for some particular equations on the SVM and the very first result that I got was from Cornell website and from there I got to know about professor's playlist . God ! How blessed do I feel to discover his playlist. Absolutely phenomenal way of teaching . Even though I've finished most of the topics from different sources but damn but looking at your lectures I'm so hooked that I've decided to finish the whole playlist

[@aditagarwal6159]

Rising senior from Mumbai, India here, absolutely in love with your lectures Professor Weinberg! Its a great learning experience to go through your ML videos :) Can't wait to apply!

[@chimu3056]

this guy is awesome! Wish I could attend your lectures in person. Great job pushing these lectures online Professor

[@yuniyunhaf5767]

best professor in ML, offline(in my life of course since i am CS student too) and online :)

[@KaKasherr]

This is amazing to watch, If my lectures were like this I would attend them with enthusiasm. Everything is explained clearly, I hope to learn a lot from this.

[@KulvinderSingh-pm7cr]

Hearty thanks for providing such valuable resources, Professor you are wonderful !!!

[@deanolin1915]

After doing a lot of hands-on ML, I decided to go back and review the lectures on Videonote. Oh the horror when I realized that Videonote was no more. Thanks so much for putting this on KZbin Professor.

[@big_don_bepis]

You know, I just checked this out to see what it's about but ended up watching the whole video. See you at Lecture 2!

[@user-mh6di1ur1e]

Thank you so much Kilian, for your amazing lectures!

[@vijaybikramsubedi5339]

Oh I absolutely loved your lecture. I am now quite hinged on it and wanna scan through all of the following lectures. THANK YOU & Namaste from Nepal, Professor.

[@Wazzanx]

I love this guy

[@Kiteknight]

Great lecture professor Weinberg. Just subscribed to this channel

[@jamiequigley5906]

Best set of lectures on machine learning on the web!

[@seetsamolapo5600]

I'm auditing it. How does it compare to Andrew Ng

[@Aryan-xj1qz]

My classes begin tomorrow and I've taken my first ML course. Have been worried for the past few days that I wouldn't do well because my previous performance has been quite bad. Prof posted slides for first lecture and I didn't understand anything so thought to prepare for the classes. Random searches and browsing on KZbin brought me here, but this lecture was awesome! I enjoyed all parts of it. I have a problem focusing on something for a long time and even after that, I didn't lose concentration in entire lecture. Pretty sure I wouldn't ever be as cool as you professor :p Thank you for this lecture!

[@Diodio_y]

STATLER !!!!!!!!!!! This is where I lost my hopes and dreams in CS taking 2110. Hope this class can redeem the same hopes and dreams

[@kilianweinberger698]

I cross my fingers! :-)

[@s0lly]

I have some free time soon, this will be looked at!! Thank you!

[@TheErer1243]

This is awesome! I'm going to go through this series over the summer. Wish I got into Cornell, ha ha (I tried).

[@hantzsolo9220]

The whole serie of this lecture is pure gold. I have learned so much from it. And it is even very entertaining. I wish I could have attended it in presence. Thank you very much Prof. Dr. Weinberger! Herzliche Grüße aus Deutschland.

[@beetfarmer8299]

Hilarious professor and also engaging. I didn't think I would stick around the entire video and here I am finishing the lecture up. Also, no offence but it's also hilarious if you watch the video at 1.5x speed, and you hear the professor clear his throat, it sounds like he is getting frustrated by the students for some reason and really trying not to become a zombie lol.

[@justaworm1]

Thank you for posting this course. I look forward to going through it.

[@justaworm1]

Were these lectures from 2018, or that was just when posted?

[@seetsamolapo5600]

Supervised learning - making predictions from data - dataset D with n data points and their outputs; the feature vector and label - the data points are a sample from some distribution - the aim is to get a function from the dataset that maps x to y Examples of y (labelling) - binary classification: there or not label - k classes: multiple labels -

[@user-tq9do5ss7j]

MIT OCW : Finally, a worthy opponent!

[@girumkedese9020]

What a great professor!!

[@TrentTube]

Thank you so much for all of this!

[@kleberlucindo8099]

Amazing content, thank you professor.

[@semrana1986]

Humor is world-class ... :P (contents are even better)

[@russellkemmit73]

Mir gefelt es sehr!

[@HuyNguyen-fp7oz]

Dear Professor Kilian, i just want to ask how i can be as cool as you. Surely this the best video Machine learning course on KZbin!

[@sumitbali9194]

Your video is a great help

[@Imdeepmind]

At 22:03 when he opens Yahoo, I thought this class is from 2005 :)

[@nestorcarrasco]

Great help. Thanks!

[@jivillain]

I wish I had a professor half as good as Kilian

[@hewolfshamanic]

hello professor I am a graduate student in mechanical engineering in Brazil. I am watching your classes on youtube, you are being very inspiring to me. thank you.

[@LLYSSSZ]

opa, bão?

[@ivanehsan2683]

Coolest Prof I've ever seen 🍿😁

[@lloydacquayethompson6789]

this is awesome

[@walidbannour]

Thank you for sharing

[@hab55]

Thank you!

[@bazzinga204]

What a wacky sense of humour prof.

[@johanhegge6845]

Love this guys' humor !!! (must some foreign genes ?) I don' think it's a coincidence many great teachers have a funny side, and he's in my sample to prove it ...

[@vinodvivek6081]

Question: anyone here who knows what iid is? Then he goes on to say, I think all of you put together got it right. Epic

[@soumyabanerjee4167]

You are great

[@ufkun20]

Sehr hilfreich für Studenten der Computerlinguistik 👍

[@nadinefadlallah532]

are the programming assignments available by any chance? Thank you for the great lectures

[@saptarshiroy1852]

It would have been great if I had the opportunity to sit in your class and had a face to face discussion with you Sir. I am going USA for my PhD in statistics this fall. Hope that I meet and have a chat with you soon..

[@sreekanthkura2127]

Great videos! Is there any chance we can have access to projects of this class? Thanks.

[@wentworthmiller1890]

30:30 Why oh why do other teachers not understand this?!?

[@paulmurff3133]

Love the Terminator picture joke of what is ML...heheh

[@amados8422]

We need more of Killian Please!

[@muharremsevik3459]

DONT STOP DONT STOP GO GO GO İN THERE

[@AnnasWaheed]

At 2am out of no where I thought to learn machine learning lol and this video was so interesting probably going to watch it all this weekend lol. What are the pre reqs? Currently taking cal 3 at uni lol

[@Oscar-ip3ys]

Thanks for the lecture, professor! I will (slowly) go through the entire course. I'm sure I will learn so much from this.

[@kilianweinberger698]

Great!! Hang in there! Post a message to the last video when you are done.

[@Oscar-ip3ys]

@@kilianweinberger698 Thanks for the cheering! I really appreciate it

[@VinOnline]

I'm applying to Cornell now, if I get in I hope to meet you someday!

[@gurazeez]

well?

[@VinOnline]

@@gurazeez I did not get in :)

[@gurazeez]

@@VinOnline where u at these days?

[@bibinraj2000]

www.cs.cornell.edu/courses/cs4780/2018fa/syllabus/index.html notes

[@ps-tr2rm]

Are there any links to the code project? It would be very helpful cuz i want to implement the code too

[@deadbeef6657]

There is a whole blackmarket for the handouts .

[@doyourealise]

sir can you recommend me some books to learn theory behind ml? Like bottom to up?

[@arrigocoen7856]

Best Siri app 37:45!!

[@VV-xt7fj]

Professor Weinberger can you please provide us with past exam materials? The link that you gave in the description is not working. It shows the file has been deleted.

[@fatihfajral]

👍🙌

[@ankurnath695]

Does anyone have programming assignments for this course?

[@sorgair]

can the past exams be reuploaded (link says they're deleted) or were they removed because of cornell's rules or something?

[@roronoa_d_law1075]

Hello Richard Hendricks

[@Alien-cr1zb]

did anyone come across the course assignments or projects, that would be a great help

[@adiflorense1477]

4:23 what about clustering. I think clustering belongs to traditional computer science because there is no output up front.

[@kunal6155]

Can this curse be followed by beginners (very basic programming experience)?

[@TippyBits]

Going off of the class number alone I think probably not. I am only just starting into this myself but for this course I expect you may need decent data structures and algorithms and a good concept of programming (program flow and control). Just a guess really though.

[@sahanashridhar4351]

If you think of it as a curse, maybe not! :P On a more serious note, he does simplify the concepts such that everyone could understand. You would definitely be more benefitted if you gain some programming experience tho.

[@anshuman5554]

please provide the assisnments with solutions

[@kilianweinberger698]

Sure: Past 4780 exams are here: www.dropbox.com/s/zfr5w5bxxvizmnq/Kilian past Exams.zip?dl=0 Past 4780 Homeworks are here: www.dropbox.com/s/tbxnjzk5w67u0sp/Homeworks.zip?dl=0

[@pixel7038]

Do you cover PyTorch (GPyTorch) in your videos?

[@kilianweinberger698]

PyTorch is a library that allows easy implementation of neural networks. This course is more about the principles.

[@QuantumBeatsLab]

how can I get those notes ??? somebody please give me the link or pdf file

[@kilianweinberger698]

www.cs.cornell.edu/courses/cs4780/2018fa/lectures/index.html

[@s.ashwinragavan7521]

professor, the homework files are no longer available.

[@dhananjaypanage2472]

Why no laptops btw?

[@kilianweinberger698]

Super distracting for everybody who sits behind you.

[@YnMillion]

I want to be taught by Dr Doofenschmirtz too

[@ehfo]

are notes available for public?

[@kilianweinberger698]

Oh yes, here you go: www.cs.cornell.edu/courses/cs4780/2018fa/lectures/index.html

[@kilianweinberger698]

Yes, you can find them here: www.cs.cornell.edu/courses/cs4780/2018fa/lectures/index.html

[@ehfo]

@@kilianweinberger698 thank u

[@malikhashmat7308]

Part II ? where is part I ??

[@kilianweinberger698]

It is just about the logistics of the class ... boooring

[@malikhashmat7308]

@@kilianweinberger698 haha... Okay

[@hrushikeshvaidya1786]

35:38 I can't sleep please what is an iid?!

[@wentworthmiller1890]

Independently identically distributed. Samples drawn from a uniform/Gaussian distribution (per my limited knowledge). Hope this helps.

[@gregmakov2680]

hahaha, vay la ML duoc 60 tuoi roi, gia roi :D:D:D

[@fermisurface2616]

*says some stuff* "aaaAAAHHhh" *says some more stuff* "aaAAAHHhhhh"

[@gregmakov2680]

hahaha, exactly , see, I am right again :D:D:D tao noi roi, tao ma sinh ra o my la Bill hong co cua :D:D