Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

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  • Опубліковано 1 лис 2024

КОМЕНТАРІ • 510

  • @ApniDuniya_25
    @ApniDuniya_25 7 місяців тому +142

    We are truly grateful to Stanford University for providing these valuable lectures free of charge, which holds significant importance for those who may not have the means to access this level of education.❤❤

    • @stanfordonline
      @stanfordonline  7 місяців тому +53

      What wonderful feedback, thanks for your comment!

    • @tanushreebhattacharya7786
      @tanushreebhattacharya7786 6 місяців тому +7

      @@stanfordonline it will be wonderful to get the assignments of this course

    • @jparmar1
      @jparmar1 18 днів тому

      @@tanushreebhattacharya7786 they have provided the problem sets on the link in the description

    • @abdussemiiabuali3585
      @abdussemiiabuali3585 3 дні тому

      Piazza is nice. Thanks for the exposé.

    • @sunnybunny7431
      @sunnybunny7431 День тому

      What a wonderful feedback ​@@stanfordonline

  • @chelsHQ
    @chelsHQ Рік тому +216

    I am thankful for Stanford and Dr. Andrew for making these lectures available on UA-cam. I am from a third world country where I cannot access such quality education. I am so grateful. God bless everyone

    • @agro7007
      @agro7007 11 місяців тому +5

      @@26d8 bro what are you talking about

    • @Sayori251
      @Sayori251 8 місяців тому +1

      where u from?

    • @Sayori251
      @Sayori251 8 місяців тому

      @@la_rayyy 🤨

    • @meiomi5892
      @meiomi5892 8 місяців тому +3

      Sameeee

    • @colindo5591
      @colindo5591 4 місяці тому +4

      I"m from a first world country (Canada) and I can't afford these lectures.

  • @gulabjamun777
    @gulabjamun777 2 роки тому +992

    Lecture starts from 36:20

  • @DeepakSingh-uf5vv
    @DeepakSingh-uf5vv 2 роки тому +1207

    At times I feel so lucky being born in this age of internet, Otherwise it was no way possible for me to learn from this legend of machine learning for free, looking at this career across academia and industry , he is a pioneer . It like learning integral calculus from Newton himself.

    • @1000trilliondollars
      @1000trilliondollars 2 роки тому +7

      you are not alone ...

    • @dizzyx05
      @dizzyx05 2 роки тому +8

      We shall dub him sir andrew

    • @Atlas92936
      @Atlas92936 2 роки тому +5

      Lebnitz

    • @Khan0156
      @Khan0156 2 роки тому +6

      It would be like Newton, if it was Yoshua Bengio or Yann LeCun or Geoffrey Hinton

    • @korntech1445
      @korntech1445 2 роки тому +8

      Yeah.. we're so privileged to have these opportunities.

  • @samiraaa8347
    @samiraaa8347 Рік тому +52

    I just love how humble and friendly this prof is.

  • @smn7074
    @smn7074 2 роки тому +47

    the way this man teaches is something which doesn't get you tired. you will watch him teach with a beaming smile on your face.
    thanks for this great class.

  • @토스트-d3r
    @토스트-d3r Рік тому +168

    It’s a real honor to be able to listen to this lecture at home.

    • @ItihaasInsights1
      @ItihaasInsights1 Рік тому +4

      Hey bro any previous knowledge is required for this course ?

    • @토스트-d3r
      @토스트-d3r Рік тому +1

      @@ItihaasInsights1 no, he says he'll explain concepts along the way.

    • @tomasvallejos1609
      @tomasvallejos1609 Рік тому +5

      @@ItihaasInsights1 prerequisites 10:21

  • @Tomharry910
    @Tomharry910 Рік тому +75

    Thank you for making this world class education from a premium institute like Stanford available to us at free of cost, which otherwise was unthinkable for me to get. Really loved the way Professor Andrew Ng taught this lecture. Looking forward to learning so much from him. Thank you 🙏

  • @Kniggiforever
    @Kniggiforever 2 роки тому +145

    I just love how humble and friendly this prof is. Big fan

  • @토스트-d3r
    @토스트-d3r Рік тому +104

    40:14 supervised learning
    1:04:50 unsupervised learning
    1:11:18 reinforcement learnin

  • @Sid-xt3kt
    @Sid-xt3kt 2 дні тому +1

    This is better my than my own machine learning course

  • @ma82durga
    @ma82durga 2 місяці тому +5

    We are truly thankful to Andrew Ng and Stanford University for providing such valuable ML lectures free of charge, which holds significant importance for those who are new in this domain as well as those who may not have the means to access this level of education.

  • @osaighile40
    @osaighile40 2 роки тому +272

    Andrew Ng is a legend. I took his course on Coursera and I wish the course never ended. I have taking a lot of Machine learning courses but none of them compare to Andrew's. He made complex concepts look trivial and established a theoretical background ('Intuition' as he would say).

    • @anand-arnaudpajaniradjane9722
      @anand-arnaudpajaniradjane9722 2 роки тому +4

      Is it the same course on coursera ?

    • @JComprendsAuxMaths
      @JComprendsAuxMaths 2 роки тому +20

      ​@@anand-arnaudpajaniradjane9722 not at all. This course is much more theoretical, the coursera one is focused on practice

    • @anand-arnaudpajaniradjane9722
      @anand-arnaudpajaniradjane9722 2 роки тому +7

      @@JComprendsAuxMaths okay thanks a lot for your answer !

    • @jayantpatidar7129
      @jayantpatidar7129 Рік тому +5

      bro which should i complete first youtube or coursera

    • @ggggg4371
      @ggggg4371 Рік тому

      And how exactly did it help with your career? Were you able to apply this knowledge in any useful way?

  • @lisamathur9206
    @lisamathur9206 4 місяці тому +10

    I was having a hard week.. because I bought a course, and I was not able to understand things in deep. I came on u tube, and this came on my screen.... bro I felt like god just sent me something to make me happy. This is best thing happened. Thank you for the course.

  • @devtenx8468
    @devtenx8468 26 днів тому +3

    I'll never be able to afford a degree from Stanford but this way I can learn from the master himself. Thank you Stanford university and Professor Andrew for making this available.

  • @atulbhoy237
    @atulbhoy237 Місяць тому +3

    I am so grateful to be learning from a legend. Thanks to the legend himself and Stanford as well.

  • @lindltailor2299
    @lindltailor2299 3 місяці тому +5

    No wonder Stanford produces scholars! I didnt even feel like skipping first 10 minutes because they were so motivational. Most profs in my country and my uni to be specific would talk bout timid things like focussing on getting a job. While Sir Andrew actually motivated about building startups, making innovative technology, revolutionizing sectors. When u have profs like this that truly understand you and motivate you, ofcourse you're gonna work harder to succeed

  • @VICTORHUGO-ll8je
    @VICTORHUGO-ll8je 5 місяців тому +4

    I am grateful to Stanford University and wish these open courses to be up-to-date and continuous.

  • @ARandomName-x6o
    @ARandomName-x6o Рік тому +3

    Thank you for uploading these videos even though it's 2023 today. U can always learn something from Andrew Ng, He's like Iron man's dad.

  • @Minakshiba
    @Minakshiba Місяць тому +4

    I have started this playlist from today, now I pray to God that I can finish the entire playlist till the last video.
    Date: 22/9/2024

  • @tanmaymirgal-m8i
    @tanmaymirgal-m8i 9 місяців тому +4

    00:06 CS229 Machine Learning provides the tools to become experts in machine learning
    06:13 This class aims to make you an expert in machine learning
    18:33 Form small groups for class projects and prioritize teamwork.
    24:04 Communication with teaching staff and important logistical information
    35:47 Machine learning tools can help remake the world and make it a better place.
    41:50 Supervised learning involves learning a mapping from inputs to labels using different models.
    54:29 Supervised learning using neural networks for self-driving cars.
    1:00:34 Debugging the learning algorithm is crucial for building effective learning systems.
    1:11:51 Reinforcement learning can be used to train robots and optimize their behavior.

    • @pjm6247
      @pjm6247 7 місяців тому

      ❤thank uuuu

  • @Aryan37419
    @Aryan37419 6 місяців тому +3

    This video on machine learning is an absolute gem! It beautifully captures the essence of this transformative field and showcases the incredible power and potential it holds. As someone fascinated by the intersection of data and technology, I found this video to be both informative and inspiring.
    The video did an excellent job of explaining the fundamental concepts of machine learning in a clear and concise manner. From supervised and unsupervised learning to neural networks and deep learning, it covered a wide range of topics, making it accessible to both beginners and those with some background in the field.
    The real-life examples and applications of machine learning were truly captivating. Seeing how it can be used to recognize patterns, make predictions, and provide valuable insights across various industries like healthcare, finance, and marketing was mind-blowing. It's amazing to witness how machine learning algorithms can analyze vast amounts of data and extract meaningful information to drive innovation and improve decision-making.
    The video also touched upon the ethical considerations surrounding machine learning, emphasizing the importance of responsible and unbiased use of these algorithms. It's crucial to be aware of the potential biases that can exist in data and to strive for fairness and transparency in the development and deployment of machine learning models. This reminder of the ethical dimensions added depth and thoughtfulness to the video's content.
    I truly appreciate the effort put into creating this video. The visuals, animations, and explanations were top-notch, making complex concepts easier to grasp. It's evident that the creator has a deep understanding of machine learning and a talent for effectively communicating it to a broader audience.
    Whether you're a beginner seeking an introduction to machine learning or someone looking to deepen their knowledge, this video is a must-watch. It not only provides a solid foundation but also instills a sense of awe and excitement for the possibilities that machine learning holds. Hats off to the creator for producing such an outstanding and educational piece of content!

    • @ratneeshpal4157
      @ratneeshpal4157 4 місяці тому

      hey I would like to know if this course is begginer friendly or not

  • @singhdpy
    @singhdpy Рік тому +17

    This lecture was amazing! Andrew Ng is such a great teacher and explains everything so clearly and intuitively. This video is the next best thing to being in the classroom with him! Thank you for sharing this valuable resource with us!

    • @theLowestPointInMyLife
      @theLowestPointInMyLife Рік тому +2

      Yeah hes much better than the MIT guys.

    • @stanfordonline
      @stanfordonline  Рік тому +8

      What wonderful feedback, thanks for your comment!

    • @_random_guy
      @_random_guy Рік тому

      you finished the entire playlist, also could you tell me how much does this course prepare you for getting job, like can you build ensemble models after this course?

    • @SalmanKhan-e9u3e
      @SalmanKhan-e9u3e Місяць тому

      hello bro,can you provide me a book which mentioned here .

  • @henhappy7428
    @henhappy7428 2 роки тому +10

    05/07/2022 Lecture 1: well-posed learning problem is said to learn from experience E with respect to some task T and some performance measure P, if the performance on T, as measured by P, improves with experience E. See, not that complex!

  • @srleb3462
    @srleb3462 Місяць тому

    Huge THANKS to Stanford university and Dr Andrew Ng for giving us possiloty to liaten this classes

  • @Blaiseezeokeke
    @Blaiseezeokeke Рік тому +4

    This is amazing.
    Machine Learning, AI and Data Science are the fulcrum on which our world turns and will continue to turn.
    Thank you Standford and Andrew Ng for this generosity of knowledge to our world.

    • @StudyWithCuriousExplorer
      @StudyWithCuriousExplorer 4 місяці тому

      Can we learn ML just having good command on python or do we need concept of data science too?

  • @on-jo6os
    @on-jo6os 6 місяців тому +159

    any non CS person watching this in 2024? I have a medical background and now trying to learn this shit. those who are trying too, all the best, cheers

  • @anishapostate4221
    @anishapostate4221 2 роки тому +36

    lecture starts from 36:30

  • @Lachhaparatha
    @Lachhaparatha Місяць тому

    earlier i thought of going with course posted on coursera but when i started this video randomly I was hooked to it. i am not preparing to learn anything before this but will note any thing that is told, pause and learn that and again come back to it kind of more active approach i am following here. may be this helps i have wasted a lot of time so that i will atleast get through it. wish me luck

  • @正在观察迪克的何同学

    This course is great for students who are learning Machine Learning or Deep Learning.

  • @thenoshow
    @thenoshow 2 місяці тому +2

    Thank you for all these course making it available on youtube. Here in India Education is business and schools and colleges looting money from people under education. No quality education is provided in India that's the reason no new business or businessman, research centres and companies have been started in India. There's nothing Quality in India no Quality in any field absolutely zero.

    • @mangacamp711
      @mangacamp711 2 місяці тому

      Let's not blame all, there are some teachers who I love to attend classes of

  • @AmanKumar-vj6ck
    @AmanKumar-vj6ck 5 місяців тому +265

    is anyone who is starting this in june 2024??

  • @KrishnanshAgarwal
    @KrishnanshAgarwal 6 місяців тому +5

    5 topics of this class
    1) Supervised Learning
    2) Machine Learning Strategy
    3) Deep Learning
    4) Unsupervised Learning
    5) Reinforcement Learning

  • @DamkimDonuts0
    @DamkimDonuts0 2 місяці тому

    I'm glad find this courses free, in my country it still less class to learn this thing. and I want to learn this subject to be my thesis topic, this will be the beginning of journey 😁

  • @ObaroJohnson-q8v
    @ObaroJohnson-q8v 3 місяці тому

    The differentiation of the what regression and classification are is audibly understandable. Learning machine learning to try to understand how the human brain works. Thank

  • @akuruyajoshua719
    @akuruyajoshua719 3 години тому

    Fresh out of The Higher institution, Associate Degree in Mechanical Engineering Technology, want starting today.... hoping for the best.

  • @grantguo9399
    @grantguo9399 8 днів тому

    Thank you so much Stanford!!!

  • @smanqele
    @smanqele 11 місяців тому +2

    What amazing 75 minutes of my life!

  • @jgyasu
    @jgyasu Місяць тому +1

    Lecture 1 completed!

  • @hatman8580
    @hatman8580 2 місяці тому +1

    Thank you for the exceptional Machine Learning course by Andrew Ng-it has been immensely valuable.
    Could you please consider adding a full Artificial Intelligence course? Such a resource would be greatly beneficial to many learners eager to explore AI further who donot have access to these courses

    • @SalmanKhan-e9u3e
      @SalmanKhan-e9u3e Місяць тому

      hello ,can you provide me a book which mentioned here .

  • @AnthonyStouteford302
    @AnthonyStouteford302 3 місяці тому

    3:58 I work for a logistics company. Wasn't expecting him to mention it like that. It's definitely an industry that needs machine learning

  • @lakshyakumarpandey382
    @lakshyakumarpandey382 Рік тому +8

    Just loved the introduction . May I ask if we you-tube watchers can also get the hold of notes which sir Andrew is talking about ? btw thank you making this course and video available to us !!

  • @osmansafi1972
    @osmansafi1972 Рік тому +1

    every time I watch it I learn more

  • @rabiuahmad2689
    @rabiuahmad2689 Рік тому +1

    This is an amazing opportunity for students like me . Long last stanford University

    • @stanfordonline
      @stanfordonline  Рік тому +1

      Thanks for our comment, glad to hear you're enjoying these lectures!

  • @LearningLazy
    @LearningLazy Рік тому +2

    I am going to record my self building a product hopefully a life changing project for everyone thanks for this course.

  • @anjpunk
    @anjpunk 3 місяці тому

    4 years late but this is awesome to get on with 🔥

  • @anshikamourya6456
    @anshikamourya6456 День тому

    As a complete beginner in machine learning, should I jump directly into these lectures, or are there other prerequisites besides statistics and calculus that I should consider?

  • @sirimanoj645
    @sirimanoj645 4 місяці тому +6

    Anyone starting in june 2024,
    Reply to my comment,
    Lets do it together...👍

  • @darkcast345
    @darkcast345 3 місяці тому

    Wait what.... This is intro class at Stanford. Lord have mercy on my soul.

  • @madzee2179
    @madzee2179 Рік тому

    AmaOng teaching ,just blessed to get such content for free.

  • @Pichu614
    @Pichu614 Місяць тому

    The legend himself

  • @kcpkcp1000
    @kcpkcp1000 7 місяців тому +1

    Thanks Stanford for this video

  • @AsianArts-q5g
    @AsianArts-q5g 6 місяців тому

    Easiest way of teaching ❤

  • @pavin_good
    @pavin_good 6 місяців тому

    We Students don't have Teachers like this
    If we can have
    I'm sure
    We can make this world more and more and more Better.

  • @AbhishekChaudhary-nh9dg
    @AbhishekChaudhary-nh9dg Місяць тому +4

    Starting in Sept 2024

  • @toohaarsh07
    @toohaarsh07 5 місяців тому +1

    Huge respect and love to you sir🙏

  • @brownmunde4086
    @brownmunde4086 2 роки тому +9

    In today's time Andrew Ng is legend by his ML knowledge 🤓

  • @jimjimakos1101
    @jimjimakos1101 Рік тому

    Congratulations for the great work you have done for the humanity

  • @friedrichkrien2543
    @friedrichkrien2543 4 місяці тому +1

    Notice that the voices of the audience are not distorted at all: Prof. Ng was giving these lectures to Darth Vader and a fellow group of storm troopers who recently developed an interest in machine learning.

  • @ShahzadHassanBangash
    @ShahzadHassanBangash 2 роки тому +6

    Where can we find the homework and projects for CS 229 ?

  • @kirillzlobin7135
    @kirillzlobin7135 3 місяці тому

    10:07 - prereqs
    39:37 - Supervised learning (my bookmark)

  • @carvalhoribeiro
    @carvalhoribeiro Рік тому

    Thank you for explaining the concepts, purposes, and practical applications so clearly

  • @dindaaazhr
    @dindaaazhr Рік тому

    oh my God, Stanford thank you so much..

  • @neocoretec
    @neocoretec Рік тому +1

    10 mins could have been enough for that video. There is really nothing to miss here.

  • @Eng-Mohamed-Ahmed
    @Eng-Mohamed-Ahmed Рік тому +1

    thanks Andrew and Stanford this very interesting for me.

  • @ellamaria187
    @ellamaria187 9 місяців тому +1

    Let's do this 💪

  • @MehdiFazlalii
    @MehdiFazlalii 10 місяців тому +1

    Very good lecture, I learned a lot, I hope I did watch this video way sooner.
    thank you

    • @joelausten
      @joelausten 5 місяців тому

      are you a beginner from 0? if no, can you recommend me a yt tutorial?

  • @syan224
    @syan224 7 днів тому

    Thank you so much for this

  • @KALYANSUNDARGIRI
    @KALYANSUNDARGIRI 4 місяці тому

    thanks for providing this course .

  • @bikrombarman12345
    @bikrombarman12345 2 місяці тому +8

    Anyone from India 🇮🇳

  • @KhotsoTsolo
    @KhotsoTsolo Рік тому +6

    Wow, what a lecture!! How can I download these videos? Prof Andrew is phenomenal

  • @TheHalalStudent
    @TheHalalStudent Рік тому

    Much better than my professor!

  • @dorischoo
    @dorischoo Рік тому +1

    Interesting and informative. Thank you Andrew.

  • @emyn2247
    @emyn2247 2 роки тому +3

    Thank you for the course. It's very helpful for me ❤

  • @Virtualvinyilradio
    @Virtualvinyilradio 9 місяців тому

    this is so cool, its like im in class.

  • @mihiradeshappriya
    @mihiradeshappriya 5 місяців тому

    As a beginner what do you need before start to watch this playlist ??
    Is this lecture series cover all the basic concepts about ML??

  • @miplop3538
    @miplop3538 Рік тому

    I'd love to see the analytics for this video. The view count must've grown exponentially within the past 6months to 1 yr

  • @unomongolia5124
    @unomongolia5124 Рік тому +4

    Since he mentioned about the group project I naturally started think about who to work with on my group project but after he asked "How many of you this is your very first class at Stanford? raise your hand" I have realized I do not have any group project at Stanford. Wish I could be in there xd

  • @StudyWithCuriousExplorer
    @StudyWithCuriousExplorer 4 місяці тому

    Do we need data science concept to understand this course or we can understand having command on python?

  • @AnmolKumar-dh3lh
    @AnmolKumar-dh3lh 21 день тому

    where are you guts getting the resources for this course, I can't find the exercise and lectures in the above link.

  • @castember2277
    @castember2277 2 роки тому +11

    Hey question, what math should I exactly understand as a background before I start learning this course?

    • @stanfordonline
      @stanfordonline  2 роки тому +25

      Hi there, thanks for your question! The prerequisites for this course include linear algebra, basic probability and statistics. You can view more about the course here: online.stanford.edu/courses/cs229-machine-learning
      You may also be interested in checking out the first problem set: cs229.stanford.edu/materials/ps0.pdf
      Hope this helps! :)

    • @yuliaj5228
      @yuliaj5228 2 роки тому +2

      @@stanfordonline Hi, are all the problem sets available for me? If so, were can I find them?

    • @lenderzconstable
      @lenderzconstable Рік тому

      @@stanfordonlinelinear algebra, that is harder than calculus 2 isn’t it?

    • @jayloncarter7030
      @jayloncarter7030 10 місяців тому

      @@lenderzconstableYes but not by much

  • @wcnv
    @wcnv 4 місяці тому

    I love Andrew Ng♡

  • @NavjotSingh-bm9fi
    @NavjotSingh-bm9fi 8 місяців тому +1

    i am a beginner, should i learn from him , or should i go for some basics of ml first.

    • @stanfordonline
      @stanfordonline  8 місяців тому +1

      Hi there, you can learn the basics from Andrew in this 3 course specialization: www.coursera.org/specializations/machine-learning-introduction

  • @SONUMAKKAR-r5k
    @SONUMAKKAR-r5k Рік тому

    Can anybody tell from where we can find note, they are not available on site which is given?

  • @thecitizen9747
    @thecitizen9747 Рік тому +2

    Can someone kindly share the website on which i can get a copy of his book?thanks

  • @htetmyetthar5650
    @htetmyetthar5650 8 місяців тому

    That's amazing. Done watching

  • @siddharthdhadwal2193
    @siddharthdhadwal2193 11 днів тому

    Can someone tell if this entire course is theoretical or gives some practical knowledge too?

  • @john-xu9uo
    @john-xu9uo 5 місяців тому

    Any way to get the problem sets? The links require log in credentials I guess linked to the course itself, and the first problem set seems to be missing at all..

  • @NaaneVinu
    @NaaneVinu 3 місяці тому

    Hi what's the prerequisites for this course? Like python, nupy, pytorch, calculus, statistics , probability etc... or all is taught in this course?

  • @not_at_all_37
    @not_at_all_37 9 місяців тому +1

    The website name where we will find the book systematic engineering principle for machine learning by andrew ng is not clear
    can anyone share the site ?

    • @Anonymous-md4ql
      @Anonymous-md4ql 8 місяців тому

      I need a partner to coordinate with practice projects by following this course, will you?

  • @Vinay_Thakur_ML
    @Vinay_Thakur_ML Рік тому +3

    Between all of this, the worse thing is Andrew Ng Course is no longer FREE?🙏

  • @betheafan6462
    @betheafan6462 11 місяців тому +1

    anyone know if there is recordings for the dicussion sessions that go over probability, statistics and such (being a while and do need some reminder) Thx

  • @muzamilhussain9908
    @muzamilhussain9908 2 місяці тому

    Is there any group of written lectures where I can note these points ???

  • @govindanchandran5326
    @govindanchandran5326 Рік тому +2

    I like using Andrew Ng's Machine learning course at Stanford University. I have a Bachelor of Engineering, Computer Engineering from University of Michigan, usa. I also have a LLM Master of Laws from University of London & A PhD in Political Science from Tel Aviv, ISRAEL. I would to continue this Stanford Machine Learning course and complete the related Andrew Ng's Machine learning & Deep learning courses from Coursera. These courses are very good. Andrew Ng should write a Standard Textbook on AI, ML and DL based on his courses and knowledge to assist A student;Professor like Me.

  • @maheswara_pradeep8235
    @maheswara_pradeep8235 Рік тому +1

    Hi. First of all thank you Stanford for uploading these lectures on youtube. I am currently doing Professor Andrew's coursera ML specialisation. Shall I listen to these lectures after I completed that specialisation?

    • @stanfordonline
      @stanfordonline  Рік тому +1

      Hi there, thanks for your comment! After you feel confident about the foundational knowledge you've learned in the specialization, you will then likely get the most of out these graduate level course lectures. Happy learning!

    • @UsmanShah-dz6yf
      @UsmanShah-dz6yf Рік тому

      Hi, Could you guide me where i can find that course exactly? Is that the beginner course?

  • @morechaitanya
    @morechaitanya 10 місяців тому +1

    till 34:00 for Stanford Student
    From 34:00 for online student

  • @robertmaddox8352
    @robertmaddox8352 Рік тому +2

    I don't know if this video is being monitored but, is it possible to get the files for the handouts for the course?

    • @stanfordonline
      @stanfordonline  Рік тому +2

      Hi Robert thanks for your question! You can check out the course website here: cs229.stanford.edu/ and the recent syllabus with notes and slides: docs.google.com/spreadsheets/d/12ua10iRYLtxTWi05jBSAxEMM_104nTr8S4nC2cmN9BQ/edit?usp=sharing

  • @vik_bhatia
    @vik_bhatia 10 місяців тому

    The cs229 course website no longer have class notes and other resources, please update it asap. It will be very helpful.

  • @VikramKumar-qy4ci
    @VikramKumar-qy4ci 2 місяці тому

    It's Amazing.

  • @jollymess1
    @jollymess1 8 місяців тому +1

    Very nice learning.