A Gentle Introduction to Machine Learning November 29, 2019 77 By Stanley Isaacs CategoryArticles BlogTagsdecision tree introduction Josh Starmer linear regression machine learning statistics StatQuest 77 Comments riad djellouli says: 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 . Reply Bon Leofen says: 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. Reply Santiago Escobar says: November 26, 2018 at 6:06 pm This is truly the most amazing introduction to ML I've ever seen Reply Hein Zin says: November 26, 2018 at 6:23 pm BAM!!! realy love this channel since learning stat Reply dedushkafrost says: November 26, 2018 at 9:06 pm Mr Joshua. i've never felt so interested waching statistics videos until i met your channel. BAM! Reply dragonamt says: 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. Reply Urjaswita Yadav says: November 27, 2018 at 3:49 am Loved it!!! Thanks a lot! QuadrupleBAM! Reply Ajay K M says: 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. Reply Digityam Pure Digital Consciousness says: 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 Reply Ravi Teja Varma says: November 29, 2018 at 2:26 pm Please make videos on neural networks ….BAM!!! Reply Jill Valentine says: November 30, 2018 at 7:47 am machine learning with guitar haha Reply Jill Valentine says: November 30, 2018 at 8:02 am then whats the different between testing data and training datais 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 rateU 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? Reply Shua Kim says: December 2, 2018 at 6:07 am you know I could simply love statquest without silly songs and statistics hooray~! BAM~!! Reply Akiva Brauner says: 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 Reply Robert Skahan says: 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? Reply Pere B says: December 4, 2018 at 8:13 am amazing ! Reply Michał Kochański says: 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? Reply Kuldeep Kavta says: December 18, 2018 at 12:41 pm Any plans to make video on SVMs? Reply Pascal Torvic says: 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, Reply ibang universe says: January 2, 2019 at 12:36 pm Your videos are just AmazingPlease continue uploading sir, Love u From indonesia Reply -Pipo- says: January 3, 2019 at 2:33 am Any plans for a video on boosting? Reply Esteban Escudero says: January 10, 2019 at 9:46 pm Very clear and understandable video. You've won another subscriber. Reply Esteban Escudero says: 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. Reply Yupei Li says: January 22, 2019 at 7:16 pm nice music Reply Mohammed Khateeb says: January 27, 2019 at 2:54 pm you are great ,, thank youuuuu <3 Reply john karippery says: February 3, 2019 at 11:17 am 4 hour lecture do it in 12.44 min Bammmm!!!!!!!!!!!!!!!!!!! Reply Jeweells says: February 3, 2019 at 10:09 pm Awesome channel! Reply Paul Kitko says: February 21, 2019 at 2:01 am Josh Starmer, the bard of machine learning! …………………………………..STAT QUESSSSSSSSST!!!! Reply Preetam Mishra says: February 21, 2019 at 6:15 pm I like silly songs and I like ML, I like Statquest! Reply NISHA CHAUHAN says: February 22, 2019 at 4:02 pm you are """BAM!!!!" man! Reply ismail bayram says: February 24, 2019 at 10:15 am I wish you were a teacher at my university. Reply 张雨 says: March 4, 2019 at 4:54 am SVM please! Reply Kate Blank says: March 4, 2019 at 6:39 am Not sure how to reach you except here. https://xkcd.com/2118/ Reply Rajal Debnath says: March 6, 2019 at 6:21 pm Would like to learn more of machine learning. Neural network and deep learnings. Reply Youssef Alaoui says: 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, Reply schmidtzcargolbull says: March 15, 2019 at 5:15 pm Very good video. perfect even! Reply drvamsi krishna Kurra says: March 18, 2019 at 5:49 pm Love the video, love the content and love the way you present it…..BAM Reply Tân Hứa says: March 25, 2019 at 12:04 am Love the way you start a video! Reply Gouri Deshpande says: 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! Reply M abdullah says: March 27, 2019 at 5:21 pm BAM!! BAM!! you earned my respect Reply Nilufar Ahmed says: March 31, 2019 at 6:46 pm The introduction songs in the videos reminds me of Phoebe from FRIENDS 😀 Reply Jess Stuart says: April 5, 2019 at 5:04 pm Are there situations where the total absolute error is better than using the mean squared error? Reply Harsh Reddy says: 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. Reply Pragun Sharma says: 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. Reply Srinivas Reddy says: 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. Reply Tanisha Bhattacharyya says: May 1, 2019 at 11:58 am love the songs and ofcourse the contents 😀 Reply ganesh ghimire says: May 9, 2019 at 1:31 am Josh your videos are amazing. Can. you make some videos on python too. Reply Arjun Kalidas says: 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. Reply Priya Singh says: May 29, 2019 at 2:08 pm Thank you for these wonderful videos, God Bless You! Reply Tom Sirius says: June 4, 2019 at 9:49 am BAM, you are gorgeous！ Reply Kevin McGee says: June 6, 2019 at 1:37 pm Who doesn't like silly songs? Reply NEXTGODLEVEL says: July 15, 2019 at 6:43 pm Can i get your ppts……? Reply AWS Consultancy and Training (ACT) says: July 15, 2019 at 7:14 pm BAM BAM!!!! Really awesome videos. good work. Reply Shanmukha Rao Paramathmuni says: July 21, 2019 at 12:06 am BAM 🙂 Simple words and methods explaining complex things. DOUBLE BAM!!! Thank you very much. Reply Rasika Dhande says: July 28, 2019 at 6:44 am very intresting way of teaching Reply Mohamed Sameh Belaid says: 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) Reply Blue Various says: 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. Reply Lugnir Legolas says: August 20, 2019 at 3:27 am Machine Learning is Borriinng ??? Well pal….you haven't met Josh Starmer yet. Reply Fabio De Martino says: 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. Reply jho says: August 30, 2019 at 11:32 pm the way you gently described overfitting is awesome Reply Sourav Verma says: 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. Reply Mrm Trgt says: 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. Reply Uğur Öz says: September 21, 2019 at 8:40 pm I always have fun and learn things easily on this channel. Thank you! Reply Uğur Öz says: September 21, 2019 at 8:40 pm 8:23 😀 Reply Tahabi Muhammad says: October 6, 2019 at 9:55 pm A very Different type of introduction to ML. Reply wale olarewaju says: October 10, 2019 at 10:08 am I am in love with this channel already.What an Introduction!Best ever. Reply Juhee Singh says: 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 Reply Pawan Bathe says: October 15, 2019 at 4:44 pm That is simple and concise, BAM! Reply prerna bhalla says: October 20, 2019 at 11:31 am love the way u taught. BAM ! 😀 Reply Rohit amalnerkar says: October 27, 2019 at 1:22 pm Mr. JoshPlease make a video on Market basket Analysis, Neural network and time series. I really like your method of teaching. Clears everything inside out. Reply Daniel Dimitrov says: November 9, 2019 at 9:58 am These videos are fantastic! Thank you so much! Reply João Carnero Guedes says: November 13, 2019 at 10:21 am Starting this course today! Thanks a lot!!!!I love you, man! 😅 Reply urja damodar says: November 17, 2019 at 4:46 pm I love the teaching method and Love the silly song hence I love StatQuest Reply Àlbert Rafels says: November 19, 2019 at 10:58 am Really great explanation! Reply MrAbhinavsingh13 says: November 20, 2019 at 7:59 am My second video on Statquest. It's so well explained. Reply akshay awate says: November 20, 2019 at 2:21 pm hello sir, can we get python code of this ML implementation ? Reply vishal verma says: November 24, 2019 at 6:30 am Oh no!! That's a shameless self promotion!! 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