Random Forest Algorithm Clearly Explained!

Here, I've explained the Random Forest Algorithm with visualizations. You'll also learn why the random forest is more robust than decision trees.
#machinelearning #datascience
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[@yashmore3525]

Hey, I really like the fact that you tend to justify why certain concepts are used the way they are! Hoping to see more fundamental machine learning concepts covered in the future!

[@NormalizedNerd]

That's exactly my goal!

[@red-bluelife]

Exactly!

[@raphaellaoun2784]

I totally agree really helpful, thank you for the nice videos

[@sidchatt]

Not only a very well-explained video, but aesthetically superb too; the diagrams, the music when the trees are being created - brilliant video! Well done!

[@Mutual_Information]

As someone who makes videos on machine learning, I'll say this is an excellent explanation. I like how the algorithm is explained verbally with a visual example. Also, you explain the motivation for the choices of algorithm as you come across them. Variance reduction is key! Very nice - keep it up!

[@NormalizedNerd]

Thanks mate! 😄 I just watched your distribution video and enjoyed it a lot...great work!

[@Mutual_Information]

@@NormalizedNerd Thank you! Much appreciated :)

[@shivoham5939]

variance can be reduced by increasing the no of estimators or trees and by decreasing the no of row sample and column samples for each tree

[@noahrubin375]

Easily the best video on Random Forests I've seen

[@NormalizedNerd]

Thank you!!

[@ericametta6964]

Just came across your channel and i must say you deserve a lot of accolades for how much effort you put into visualizing these concepts and explaining the motivation behind everything so well. Good job really. Not many like you out here

[@Jjhvh860]

I like how you Connect ML terminology with Concepts, Underated Channel

[@NormalizedNerd]

Thanks man!

[@yd3021]

I had no idea about what is random forrest before watching it. This 8 minuts talk helped me alot! Thank you!

[@mohammedarshad9318]

This channel is so Underrated!!! This guy is explaining in the simplest way!!!

[@MadeleineParnot]

Genuinely the most clear video I've yet to see on Random Forest, I can't believe I finally understand !!

[@rose_garden_chess]

Favorite Random forest video yet!! Thank you Normalized Nerd!!

[@NormalizedNerd]

Wow, thanks!

[@MrXdq1987]

I have watched several wideos and read a bunch of articles but I still don't know how a radom forest works until I found your video. Thank you!

[@21121990jay]

One of the best video that I've come across that explains random forest so easily. 👏

[@et_smithy]

Amazing explanations as well as quality graphics, as always!!

[@mybankbalanceis0]

This was wonderful . Very short, to-the-point and covers all the necessary concepts. I think i have a clear understanding now.

[@mincheng6194]

This explaination is crystal clear! Thanks best I have ever seen

[@_ChetanSalunke]

Hey, your explanation about the maths behind the algorithms with pretty visualisation is awesome. Please upload more videos for other Algorithms, So that begginers like me can enjoy the learning.

[@niluparupasinghe171]

This should be on the top of search results for what is a "Random Forest".... great job, well explained.

[@NormalizedNerd]

I also think so :P

[@softwareengineer8923]

Perfectly lucid explanation, keep the high quality content up

[@vijaykothawar1818]

This is amazing... I spent a lot of time searching for the right channel to understand machine learning, still there were complexities understanding, but this is simple and well explained... Thanks and keep posting videos!!

[@anjalichakraborty2742]

OMG.....Really thank u for this ..... i literally haven't seen such an amazing Explanation on Random Forest.... it really helped me to get a perfectly clear picture about this Algo....

[@TheHalittle]

You have made me understand a topic in 6 minutes which my Dr. at uni couldnt in a whole semester. Thank you.

[@jmoscosa]

Dude this video and the video on decision trees have better content than a full semester on my master's degree. Very very good and clear explanation 👏 👌!!

[@NormalizedNerd]

Thanks man! I know sometimes the courses fail to cover all the details because they have to fit so many things into one semester!

[@fawadafridi3570]

@@NormalizedNerd i dont think syllabus is the reason why would they spent 4 - 5 hrs on random forest then. Its about the technique. However in class teacher cannot focus on every student and also people who search on internet are all dedicated to learn unlike to that of class which is sort of compulsory and you do not get the time of your choice also

[@rhesamulyadi]

I was struggling with this concept, but your video was so informative and clearly explained the idea behind it. Instantly subscribed to your channel. Thank you for sharing your great work.

[@NormalizedNerd]

Glad it was helpful!

[@sukursukur3617]

I liked your mind. You ask philosophical questions and explain those. This is very good learning and teaching method.

[@jorgelopezcuns]

You are amazing.Literally whenever I search for a ml algorithm on youtube your channel pops-up.Thank you for your content🤗

[@pinkluna666]

I am sending you much appreciation, talented stranger! You earned my like and subscription. I am currently getting into programming / GIS and I am very happy to have stumbled across your channel!

[@yhoff76]

Sir, your videos are phenomenal. Extremely thorough and very informative. I wish you all the best in your future endeavors!

[@benfield1866]

this was very well explained and simple to understand

[@mahaalabduljalil6596]

AmaaaaaaaaaZing! I'm learning and enjoying your story telling :)

[@Shyamshundar1]

Thank you sir for this crystal clear explanation.

[@boristeixeira]

Amazing explanation, thank you very much for sharing your knowledge!

[@excelelmira]

My mathematical heart cracked when he casually said "log or square root of the total number of features". Those two values could be many orders of magnitude different from each other.

[@sofiayz7472]

Thanks for helping me understand something that I didn’t understand many years after graduating from my Masters 😅

[@NormalizedNerd]

Glad to help :D

[@_ChetanSalunke]

This is one of the best Machine Learning Channel. Why you people not update about new videos?

[@mylenelaliberte9208]

Awesome job at explaining the algorithm clearly, very helpfull. Thanks a lot !

[@bajdoub]

Great video. But according to some sources, features are are sampled randomly at each node level, not at each tree level. For the first tree, we wouldn't select x0 and x1 for the whole tree, but only for the first node. Then for the second split we would randomly select two features, maybe x0 and x1 but maybe x3 and x2. Is this a variant of the RF algorithm or was my understanding wrong? Do you happen to have a source of the original algorithm? Nevertheless great video and impressive amount of work put into it!

[@NormalizedNerd]

Thanks a lot...and great question! Firstly, your understanding is correct. Selecting a random subset of features at each node is more popular nowadays. But in the video, I followed Tin Kam Ho's 1998 paper 'The Random Subspace Method for Constructing Decision Forests' where he used a random subset of features for each tree. ("My method relies on an autonomous, pseudorandom procedure to select a small number of dimensions from a given feature space. In each pass, such a selection is made and a subspace is fixed where all points have a constant value (say, zero) in the unselected dimensions. All samples are projected to this subspace, and a decision tree is constructed using the projected training samples.") The reason I did this is to reduce the complexity of the explanation :)

[@bajdoub]

@@NormalizedNerd thanks so much for the reply. I used to see both variants in various esplanations now it makes sense to me! Keep up the good work I am a huge fan of your videos :-)

[@NormalizedNerd]

@@bajdoub Keep supporting ❤️😌

[@barbarakiyomoto4478]

Thank you, this really helped me understand random forests easily

[@NormalizedNerd]

Glad to hear that!

[@ash__borne]

Got an exposé in a few minutes. This has all I need. Thanks 👍🏾 God bless

[@harshal.rathore]

I think there is a little bit of miss information(as I've watched some other videos like statquest and read some articles) we do not use the same randomly selected subset of features through out the tree from root node to last decision node but we randomly select a subset of features at each decision node to decrease the correlation between the decision trees and make them more robust.

[@bsatyam]

Yes! Exactly. I was confused about the same and this video just fueled my confusion.

[@emilmohaneriksson]

Yes this is entirely correct. I got confused by the same thing.

[@tanmaysingh1131]

well explained bro... please make one explaining the extra tree algorithm for regression

[@naodtesfalem6758]

clear explanation and clear visualization, it didn't even feel like learning.

[@tamimhasanbhuiyan9333]

Very nice explanation of this algorithm

[@abdulrehmanamer4252]

The best concise explanation!

[@francescosanvito992]

Thanks so much! This is so helpful! I’m considering employing RF for diagnosis classification in neuro-imaging, and this video made me understand that RF may be the right fit for my task!

[@burburchacha]

Really good explanation, much much better than my lecturer

[@LifeKiT-i]

I just study ML under Andrew Ng course, but found it very confusing. However, you explain it in a very clear way!!!!

[@anwarsaid135]

Nice and clear explanation with animation and reasoning. keep it up!

[@im_debamrita]

Great Explanation!!!

[@justgovi]

I love your explanations, you are the best to teach these complex concepts

[@television80]

Really, a nice video, piano music while creating the trees, really nice, congrats for your dedication, thanks for sharing your knowledge

[@shanlily]

Best explanation I have gotten so far. This channel is a LIFE SAVER🥲

[@jamiyana4969]

literally the best video on this topic!!!

[@Josh-di2ig]

amazing video. everyone who wants to learn about RF algo should watch this.

[@eloimp88]

Thank you for the video. The best explanation I’ve seen so far

[@jordibeunk1423]

Excellent video, thank you! I got one small comment. In the original algorithm, a subset of features is selected at every node of the tree. So every tree gets the total set of features, but only a random subset of these features is used at every node.

[@NA-rx5oy]

Amin the medical field, not big fan of stats, but need this knowledge for my research. You did a great job in explaining the concept. Big fan!!

[@arnabdas4146]

Best video on random forest.. thank u very much

[@ishitasadhukhan1]

best best best explanation !! And the visuals take the explanations to another level !

[@DEVANSHGOEL-dq1wh]

I am thankful to you for providing such high quality content. Bro, by mistake you have written x2 and x1 two times in last two trees.

[@krishnachaitanyapullakandam]

The visualization made it easy to understand! Loved it.

[@civilspot5912]

Great explanation. Thank you!!

[@TC-xk5qh]

what a didnt understood for a week on book reading i understand it on this video thank you very much

[@jees__antony]

Your explanations are so well and interesting... ❤❤❤

[@kodlamavetasarım]

Very good and clear explanation

[@pikaso6586]

Great job bro, your channel is under-rated.

[@TheNazbul]

how anyone can do so much hard work to make this type of video for us. its amazing work. i can understand how those animations are important for machine learning problem. thank you very much

[@dianamustakhova2332]

This is really well-detailed explanation! Thank you very much for explaining mathematical part so easily.

[@anurtj]

Great explanation. Keep up the good work!

[@NormalizedNerd]

Thanks, will do!

[@lutongfeng9384]

Hey Normalized Nerd you are the best! You explained these concepts better than my professors.

[@johnstorella9604]

Very nicely explained!

[@sandysandor6052]

Very helpful video! I have no idea of Machine Learning algorithms but am required to write a term paper on it and your videos help a lot!

[@schylerreis5227]

This is the most helpful machine learning video I have ever seen!

[@XX-kg2dr]

this is a really good quick summary of how random forest work. A quick question- during boostrapping, why we do random sampling with replacement, rather than random sampling without replacement? is there any research conducted to demonstrate one is better than the other?

[@vinesthemonkey]

if your bootstrap generated datasets are the same size as the input, then every sample by selecting without replacement would just be a permutation of the original data. with replacement, the proportion of unique entries tends to 1-1/e.

[@Ronald_McColeman]

great video, love the music btw :D

[@joshholder359]

Concise, clear, and accurate. Thanks!

[@NormalizedNerd]

😄😄

[@sedgeleyp]

Excellent video on the Random Forest algorithm!

[@agno6648]

Good Job bro, this explaintion is prefect

[@gasparyeugene4855]

Amazing illustrations👏

[@KhoaPham-qj8ry]

That is so clearly explained. Well done!!

[@tomdexter5029]

Excellent! What's more, in just about 8 minutes! 👍👍👍

[@Buckybarnesfan22]

Amazing graphics and clear explanation. Thank you!

[@anrm6]

You earned a sub. Great channel

[@NormalizedNerd]

Thanks mate :)

[@zes3813]

no such thign as nerx or not, techx s k

[@lucianoinso]

Thank you so much for this video, great explanation and really well executed, kudos!

[@herbertng522]

Enjoyed and appreciated this so much. Clear to the point. Thank you so much!

[@ХеллБой-я1щ]

Thank you for the high quality video and explanations

[@iftrejom]

Concise and precise, thank you very much! Here, you have a new suscriber

[@tatjanazivkovichansen3764]

Normalized nerds is what we all nerds tend to become! Thanks for this nice video!

[@creatorsayanb]

Excellent video! Please make a video on Boosting and BART ( Bayesian Additive Regression Trees)

[@padinampriyanka471]

Wonderful explanation! Thank you so much!

[@shivarajnavalba5042]

Hey, Really superb videos with a clear explanation & the graphical represntation will help to understand easily, Thanks for the videos and expecting more in future.

[@dineshrohit8550]

Man ! This is amazing 🔥 and the video length is also short ❤️✨

[@mauriciojean8792]

what an awesome video. big shout out from brazil

[@subodh.r4835]

beautifully explained

[@MS-fw4kf]

clear, direct, precise !!!

[@mohamedhussain1113]

superb brother, good explanation

[@AquaFX]

Well explained explanation, and great visuals! Thanks a lot!

[@NormalizedNerd]

You're very welcome!

[@timklymenko7619]

These videos are the best machine learning explanations I've come across anywhere so far, thanks heaps !

Excellent video! Very clear explanation and the animation was really easy to follow.

[@javierabastias3329]

muchas gracias por la explicación! me ayudó muchísimo!

[@flake2078]

I absolutely love the quality of this video!

[@NormalizedNerd]

Yay, thank you!

[@fatmamannai7437]

@@NormalizedNerd Please what tools did you use to make this video?