A Gentle Introduction to Machine Learning


72 Comments

  1. riad djellouli

    November 26, 2018 at 5:28 pm

    Thank you dear Josh for this explanation, it was really helpful, but also I wish to see some videos about CPA and ascendent hierarchical classification, thank you .

  2. Bon Leofen

    November 26, 2018 at 5:57 pm

    Hey Joshua, thanks for all these amazing videos. I am a novice to the whole field of machine learning and Computer programming in general. I break my head everyday looking for a way to teach myself all that is there to the field. MIT lectures, youtube videos, udemy course and all that. I have to admit that a majority of videos are very very rhetoric (even the courses on Udemy). Your videos clearly show that you not only explain the necessary foundation concepts but you are also very closely aware about the whole superficial perception of the field (pretty evident at 8:23 lol).

    All I have to say is that I am very thankful for insightful videos. It is a great time in human history when education and information is reaching to masses for free. But I believe there is a responsibility that rest with the people who benefit from all these free content; a strive to improve things. Hence, I will chalk down a few struggles, questions and challenges that I face or have faced in my journey of learning, so that you may create videos around it and not just help me but anyone who is trying to learn this domain; given the fact that it is so full of hyped noise.

  3. Santiago Escobar

    November 26, 2018 at 6:06 pm

    This is truly the most amazing introduction to ML I've ever seen

  4. Hein Zin

    November 26, 2018 at 6:23 pm

    BAM!!! realy love this channel since learning stat

  5. dedushkafrost

    November 26, 2018 at 9:06 pm

    Mr Joshua. i've never felt so interested waching statistics videos until i met your channel. BAM!

  6. dragonamt

    November 27, 2018 at 12:36 am

    How does one justify the use of, say, boosted tree modeling over more traditional methods of model fitting? Say I can get a better r2 with a boosted tree than with elastic net? How can I justify the use of Boosted tree models? I am using continuous predictor variables (which I suppose requires more 'hand waving').

    Also, will you be on my PhD committee? You are on the interinstitutional list. I am kidding of course but the thought crossed my mind. I imagine you probably get like 50 requests a day due to this channel.

  7. Urjaswita Yadav

    November 27, 2018 at 3:49 am

    Loved it!!! Thanks a lot! Quadruple
    BAM!

  8. Ajay K M

    November 27, 2018 at 12:06 pm

    Awesome Josh. The way you break the complex things into simple is what i really like. Keep making more of such videos and help people.

  9. Digityam Pure Digital Consciousness

    November 29, 2018 at 9:08 am

    I like your explanation.. really good… just saw one video of LDA and found out how you made whole concept simpler in very simple form..Thanks for videos

  10. Ravi Teja Varma

    November 29, 2018 at 2:26 pm

    Please make videos on neural networks ….BAM!!!

  11. Jill Valentine

    November 30, 2018 at 7:47 am

    machine learning with guitar haha

  12. Jill Valentine

    November 30, 2018 at 8:02 am

    then whats the different between testing data and training data
    is it just like sample vs population in statistics?
    for example if u want to estimate the relationship between sea temperature and a specific fish reproductive rate
    U randomly choose a place which is A for your regression model(training set) and u found that temperature and reproductive rate is in ascending relationship and u choose another place B place C …..place N to test your regression model(testing set)
    it this true?

  13. Shua Kim

    December 2, 2018 at 6:07 am

    you know I could simply love statquest without silly songs and statistics hooray~! BAM~!!

  14. Akiva Brauner

    December 2, 2018 at 11:58 am

    Hi Josh. I absolutely love your videos. Some of the topics you explain I haven't been able to fully understand until I watched your videos. So thank you a lot.
    Small question, where do you get the information? Is there any source or book(s) that you can refer to and recommend?
    Again, thanks

  15. Robert Skahan

    December 3, 2018 at 9:12 am

    Is it possible to create a genetic algorithm using MS Excel alone? If so, could you show us how to do it?

  16. Michał Kochański

    December 4, 2018 at 6:51 pm

    Hey man, thank you for these videos, they help me out a lot in studying! Did you consider doing patreon?

  17. Kuldeep Kavta

    December 18, 2018 at 12:41 pm

    Any plans to make video on SVMs?

  18. Pascal Torvic

    December 19, 2018 at 5:23 pm

    Like this statquest channel but i'm annoyed by those BAMs an Hurrays :)..Useless distraction…But explanations are great Thx,

  19. ibang universe

    January 2, 2019 at 12:36 pm

    Your videos are just Amazing
    Please continue uploading sir,
    Love u

    From indonesia

  20. -Pipo-

    January 3, 2019 at 2:33 am

    Any plans for a video on boosting?

  21. Esteban Escudero

    January 10, 2019 at 9:46 pm

    Very clear and understandable video. You've won another subscriber.

  22. Esteban Escudero

    January 11, 2019 at 6:58 pm

    well thought putting an index of all the StatQuest videos. It really helps for people like me that is initiating to have a path in the learning process. Thumbs up for that.

  23. Yupei Li

    January 22, 2019 at 7:16 pm

    nice music

  24. Mohammed Khateeb

    January 27, 2019 at 2:54 pm

    you are great ,, thank youuuuu <3

  25. john karippery

    February 3, 2019 at 11:17 am

    4 hour lecture do it in 12.44 min Bammmm!!!!!!!!!!!!!!!!!!!

  26. Jeweells

    February 3, 2019 at 10:09 pm

    Awesome channel!

  27. Paul Kitko

    February 21, 2019 at 2:01 am

    Josh Starmer, the bard of machine learning! …………………………………..STAT QUESSSSSSSSST!!!!

  28. Preetam Mishra

    February 21, 2019 at 6:15 pm

    I like silly songs and I like ML, I like Statquest!

  29. NISHA CHAUHAN

    February 22, 2019 at 4:02 pm

    you are """BAM!!!!" man!

  30. ismail bayram

    February 24, 2019 at 10:15 am

    I wish you were a teacher at my university.

  31. 张雨

    March 4, 2019 at 4:54 am

    SVM please!

  32. Kate Blank

    March 4, 2019 at 6:39 am

    Not sure how to reach you except here. https://xkcd.com/2118/

  33. Rajal Debnath

    March 6, 2019 at 6:21 pm

    Would like to learn more of machine learning. Neural network and deep learnings.

  34. Youssef Alaoui

    March 9, 2019 at 12:44 pm

    Hello bro, i found your videos very usefull, you helped me a lot to understand some AI basics, please give us more of your creativity,

    keep going,

  35. schmidtzcargolbull

    March 15, 2019 at 5:15 pm

    Very good video. perfect even!

  36. drvamsi krishna Kurra

    March 18, 2019 at 5:49 pm

    Love the video, love the content and love the way you present it…..BAM

  37. Tân Hứa

    March 25, 2019 at 12:04 am

    Love the way you start a video!

  38. Gouri Deshpande

    March 26, 2019 at 7:05 pm

    I love your channel! Thank you Josh. 🙏🏽 many times, even for the topics I think I have understood, I still check if you have a video on that, because you always make the story extra special…a few additional tips/tricks to understand the topic even better!
    Love the way you present it!

  39. M abdullah

    March 27, 2019 at 5:21 pm

    BAM!! BAM!! you earned my respect

  40. Nilufar Ahmed

    March 31, 2019 at 6:46 pm

    The introduction songs in the videos reminds me of Phoebe from FRIENDS 😀

  41. Jess Stuart

    April 5, 2019 at 5:04 pm

    Are there situations where the total absolute error is better than using the mean squared error?

  42. Harsh Reddy

    April 17, 2019 at 2:36 am

    The first 1 min made me to already like your video. Can I have a full course of Data science and AI in ML and Deep Learning using Python and R.

  43. Pragun Sharma

    April 24, 2019 at 10:08 pm

    At 8:27, hilarious :D. thank you for making me laugh while i watch your videos, it is very much required while i study. Needless to mention that you explain conceptually well, otherwise the whole statistics community online provide help in a terrible way and it always deters me from learning ML. People in Stats(especially PhDs) talk in cryptic mathematical way and put off amateur people who want to move into this career. just a request, please blend maths and concepts so that it appears intuitive. Conceptual understanding will be greatly rewarded if it finds expressions in maths.

  44. Srinivas Reddy

    April 27, 2019 at 4:15 am

    at 7:51, mentioned as First testing & Second training data. As per my understanding in this video, it should be vice-versa. Please correct me, if my understanding is not correct.

  45. Tanisha Bhattacharyya

    May 1, 2019 at 11:58 am

    love the songs and ofcourse the contents 😀

  46. ganesh ghimire

    May 9, 2019 at 1:31 am

    Josh your videos are amazing. Can. you make some videos on python too.

  47. Arjun Kalidas

    May 14, 2019 at 4:17 pm

    oh man.. I laughed my a** off. Such an interesting way to teach ML. Great work. I became your fan instantly.

  48. Priya Singh

    May 29, 2019 at 2:08 pm

    Thank you for these wonderful videos, God Bless You!

  49. Tom Sirius

    June 4, 2019 at 9:49 am

    BAM, you are gorgeous!

  50. Kevin McGee

    June 6, 2019 at 1:37 pm

    Who doesn't like silly songs?

  51. Apoorva Tripathi

    July 1, 2019 at 7:25 pm

    Josh, thank you for all the videos. You have a gift and you do care to give us clear understanding. Please keep making intuitive videos on Machine Learning as simple,clear and unpretentious videos like these on it are very rare(/I haven't seen any) .

  52. NEXTGODLEVEL

    July 15, 2019 at 6:43 pm

    Can i get your ppts……?

  53. AWS Consultancy and Training (ACT)

    July 15, 2019 at 7:14 pm

    BAM BAM!!!! Really awesome videos. good work.

  54. Shanmukha Rao Paramathmuni

    July 21, 2019 at 12:06 am

    BAM 🙂 Simple words and methods explaining complex things. DOUBLE BAM!!! Thank you very much.

  55. Rasika Dhande

    July 28, 2019 at 6:44 am

    very intresting way of teaching

  56. Mohamed Sameh Belaid

    August 2, 2019 at 8:15 am

    Thank you for these impressive and interesting videos.
    Can you please make videos about GAMs (and GAM-Ms) and their Back fitting algorithm ??!! BAM !!!!
    (GAMs : Generalized Additive Models)

  57. Blue Various

    August 6, 2019 at 4:59 pm

    Thank you for your excellent lectures.
    These are very helpful in learning somewhat advanced statistical methods such as Principal Component Analysis and machine learning.

    Could you tell me the meaning of "BAM" ?
    I am Japanese, so I am not familiar with English slang.

  58. Lugnir Legolas

    August 20, 2019 at 3:27 am

    Machine Learning is Borriinng ??? Well pal….you haven't met Josh Starmer yet.

  59. Fabio De Martino

    August 29, 2019 at 7:46 pm

    You are simply great, thank you very much for your time and knowledge that you give us freely available.

  60. jho

    August 30, 2019 at 11:32 pm

    the way you gently described overfitting is awesome

  61. Sourav Verma

    September 7, 2019 at 2:48 pm

    I don't usually comment on youtube.
    However, this video is something different, a stress buster-learning per se. Never seen anything like this before, it's BAMingly Amazing.

  62. Mrm Trgt

    September 14, 2019 at 6:02 pm

    I wish I knew this channel before!!! I dropped machine learning class bec. it was too hard but you make it so easy to understand! You deserve a lot of subscribers… Thank you.

  63. Uğur Öz

    September 21, 2019 at 8:40 pm

    I always have fun and learn things easily on this channel. Thank you!

  64. Tahabi Muhammad

    October 6, 2019 at 9:55 pm

    A very Different type of introduction to ML.

  65. wale olarewaju

    October 10, 2019 at 10:08 am

    I am in love with this channel already.
    What an Introduction!
    Best ever.

  66. Juhee Singh

    October 15, 2019 at 7:27 am

    A simple decision tree- if you like statquest then eventually you will start liking silly songs and will also love machine learning ☺️☺️ bam bam bam

  67. Pawan Bathe

    October 15, 2019 at 4:44 pm

    That is simple and concise, BAM!

  68. prerna bhalla

    October 20, 2019 at 11:31 am

    love the way u taught. BAM ! 😀

  69. Rohit amalnerkar

    October 27, 2019 at 1:22 pm

    Mr. Josh
    Please make a video on Market basket Analysis, Neural network and time series. I really like your method of teaching. Clears everything inside out.

  70. Daniel Dimitrov

    November 9, 2019 at 9:58 am

    These videos are fantastic! Thank you so much!

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