All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics

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Learn with Whiteboard

Learn with Whiteboard

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Confused about understanding machine learning models? Well, this video will help you grab the basics of each one of them. From what they are, to why they are used, and what purpose do they serve.
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After watching this video, you'll be able to answer,
- How many machine learning models are there
- Some common machine learning models explained
- What is supervised learning
- What is unsupervised learning
- What is regression
- Types of ml models
- Common types of regression
- Common types of classification
- What is classification
- What are popular ML models explained
- What are the types of supervised learning
- What are the types of unsupervised learning
- Understanding the basics of machine learning models
- Learn machine learning models from scratch
- What are common machine learning models for beginners
- Understand machine learning models overview
- Whats are few ml models basics to grasp
Obviously, there is a ton of complexity if you dive into any particular model, but this should give you a fundamental understanding of how each machine learning model works!
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КОМЕНТАРІ: 403
@philipp4361
@philipp4361 3 роки тому
please half the volume of the background music in future videos! good content though, thumbs up!
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Yes, for sure, thanks for the feedback, means a lot!
@retiredteacher6289
@retiredteacher6289 3 роки тому
No. Get rid of the music entirely. It is very distracting. There is no need for music if you have something worth saying.
@NeoKailthas
@NeoKailthas 3 роки тому
Music is good just lower is better. Really good reference video by the way
@dr.ranabasu517
@dr.ranabasu517 3 роки тому
Good
@dr.ranabasu517
@dr.ranabasu517 3 роки тому
Good
@christopherwright361
@christopherwright361 2 роки тому
I always find it interesting that the statement "logistic regression is a classification method" is repeated so often, despite 'regression' being right there in the name. Like decision trees (CART), random forest and other similar methods, there are both regression and classification versions of the method. In a binary outcome problem, we model the process as flipping a coin that has a probability p of coming up heads (1) and 1-p of coming up tails (0). We can either predict p, a continuous value between 0 and 1, or we can predict the outcome, itself, which is in {0,1}. The former is regression; the latter is classification. Logistic regression predicts that probability p and logistic classification takes that probability and uses a cutoff (sometimes, but not always, 0.5) to predict the outcome. Many times, the probability is more important (for example, lots of the same type of customer -> you do not want to assume all of them are 1's, when p is estimated to be 0.6) and sometimes the outcome is more important (for example, making a decision to approve an application for credit.)
@devaredmi
@devaredmi Рік тому
Thanks for the clarification/correction.
@dhruvbala4093
@dhruvbala4093 Рік тому
Good point. This was one of my qualms with exams like Microsoft's AI-900 certification -- the answer choices fail to account for nuance
@jacobkanyi5046
@jacobkanyi5046 Рік тому
Thank you, i had trouble understanding why Logistic regression is under classification
@Amar-hl6pu
@Amar-hl6pu 11 місяців тому
You are correct and the video misinforms about Decision Trees, Random Forest , SVM, and even Neural Networks - all of which have a regression and classification usecase.
@WHATuWATCHisWHATuGET
@WHATuWATCHisWHATuGET 7 місяців тому
thanks for the beautiful explanation!
@byrospyro4432
@byrospyro4432 2 роки тому
You can also get multi-class classification where the output is more then 2, also you can use neural networks for classification also.
@isaachernandez3094
@isaachernandez3094 3 роки тому
I'm taking a machine learning course and this is what I needed to completely understand each method. Great video, concise and easy to follow. Thanks!
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Glad it was helpful! All the best with your course :)
@SanjeevKumar-nc2rt
@SanjeevKumar-nc2rt 3 роки тому
From which course you are learning. I also want to learn machine learning but not able to find which course is best for me. Cam you suggest me which course i should take?
@kenconcepts
@kenconcepts 2 роки тому
What can you do once you know machine learning? I'm still clueless but I'm into A.I and automotive
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
@@kenconcepts Hello my friend, see, AI & ML are efficiency-based concepts, meaning they let a business remove repetitive business tasks/processes and automate them (to some extent) with the help of technology. This, in long term, is not just efficient, but also cost effective. But still, after so much development in AI & machine learning field, there are certain areas that they CANNOT add much value to, I'll recommend you to watch this video: ukposts.info/have/v-deo/eoqGfKmsfGiDz6c.html Hope this was helpful!
@daniel_tobi
@daniel_tobi 2 роки тому
Same here
@katiecallaghan5005
@katiecallaghan5005 Рік тому
Learned more in this 5 minute video than I have in the past two months of watching other videos. Thanks so much for your help
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Hi Katie, thanks for your love, support and appreciation ❤️👍 I’ll try my best and share more such quality videos with you!
@maxturgeon89
@maxturgeon89 2 роки тому
It may surprise some people, but logistic REGRESSION is in fact a regression model. The output is continuous: it's a probability. Of course you can dichotomize the output and create a classifier. Just like you can dichotomize any score function or regression model output. So the distinction between regression and classification is not so clear cut.
@arpithashe
@arpithashe Місяць тому
This is what Azure AI 900 course articles says - Note Despite its name, in machine learning logistic regression is used for classification, not regression. The important point is the logistic nature of the function it produces, which describes an S-shaped curve between a lower and upper value (0.0 and 1.0 when used for binary classification).
@edwardalabi5654
@edwardalabi5654 2 роки тому
Amazing content, straight to the point whilst still being detailed
@pauloszewierenko6978
@pauloszewierenko6978 3 роки тому
Great ! It gives an overview of the subject and acts as a roadmap to dive deeper into the study of ML
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
I want to sincerely thank you for your kind words and appreciation 👍❤️
@luiscastellanos422
@luiscastellanos422 2 роки тому
I love how the explanation is made to everyone with experience or not in this issue. I’m in the second group and now I have a reference to start. Thank you ☺️
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Glad it was helpful! Thank you for your love, support and appreciation 👍❤️
@KennTollens
@KennTollens 3 роки тому
Thank you, I really needed an overview. Now I have a container to put the information in as I learn it.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Happy to help Kenn! 👍😄
@user-rk1pu3nb2f
@user-rk1pu3nb2f 9 місяців тому
Been trying to fully figure it all out for a while and here you were concisely explaining the key pointers in exactly 5 mins. Thanks for your help & keep on with the good job mate !
@learnwithwhiteboard
@learnwithwhiteboard 9 місяців тому
Glad it helped you, my friend!
@androiduser457
@androiduser457 3 роки тому
Only few thousands sees this video and I found this is the most brief and easiest to understand the basics of ml model. Thank you.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Glad it was helpful! :)
@cavidanhacili7723
@cavidanhacili7723 Місяць тому
1.1 M views)
@bunnyistaken
@bunnyistaken 2 роки тому
It was an amazing refresher for me.. Now I know where I need to concentrate more and learn more.
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Glad it was helpful!
@CC-ed7jr
@CC-ed7jr 3 роки тому
Thank you, my class was s bit overwhelming and this helps to distinguish the stuff more
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
I'm happy that it was helpful to you, I'll try my best to upload more good videos to help you understand many more concepts!
@TheRealDouglasJOlson
@TheRealDouglasJOlson Рік тому
I find that you glossed over the details of the more difficult models. But provided examples and more depth for the simpler models. For individuals learning ML for the first time, there is a need for people to understand the more complex models in depth. I suggest adding deep dives into each specific model.
@ernesto68a
@ernesto68a 3 роки тому
Muchas gracias. Video muy ilustrativo, concreto y preciso para tener un panorama de los modelos de aprendizaje automático (ML)
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
El placer es mío señor 👍😊❤️
@Sarah-qo2ut
@Sarah-qo2ut 2 роки тому
I was passed out just by thinking about my ML exam and this video boosted up my confidence I mean at least now I’ve an idea about that subject. Thanks to you
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Happy to help! 😄👍❤️
@levon9
@levon9 3 роки тому
Really nice summary, thanks for putting this together.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
I'm happy that it is helpful ☺️👍!!
@kolesplace
@kolesplace 5 місяців тому
This would be a good video for the person who already understands the vocabulary of machine learning and the different aspects of machine learning. I didn't really gain any knowledge from this video since I'm starting from the beginning of ML.
@DenisDuvauchelledev
@DenisDuvauchelledev 3 роки тому
Great overview. Thank you very much.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
It's a pleasure Denis Glad to be of help ☺️
@DavidMortaz
@DavidMortaz 3 роки тому
Great primer on ML Models! I would suggest slowing down when you talk and also do a FINAL slide showing all the subcategories you covered under each Supervised and unsupervised models. I would also use real world examples of where each model is being used and applied today.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Done David, thanks for the feedback, I'll account this when creating videos from now on
@thakurcolin
@thakurcolin 2 роки тому
Nice overview. I think you were super excited. The speed of your chat shows your deep (no pun intended) understanding of the material!
@eldwinc1546
@eldwinc1546 2 роки тому
no need to slow down, just change video speed. that's what technology is for
@manjeetkaur-eu3jl
@manjeetkaur-eu3jl 4 роки тому
Thanks for explaining machine learning models with such precision, can’t believe it was so short... I can now decide and lead my team on best ml model to select!
@learnwithwhiteboard
@learnwithwhiteboard 4 роки тому
Happy to help! I would try to serve the same precision in my future videos. :)
@venkatsusheelg9658
@venkatsusheelg9658 3 роки тому
lol
@nilutmalakar9097
@nilutmalakar9097 3 роки тому
@@venkatsusheelg9658 was here to make the same comment lol
@CromaCampusOfficial
@CromaCampusOfficial 3 роки тому
Thanks for explaining all the learning modes of machine learning.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
A pleasure indeed to be of help 🙂
@faaizaziz6430
@faaizaziz6430 3 роки тому
thank you. Very easily explained. Brief and simple.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Glad you liked it Faaiz :)
@MrShubi444
@MrShubi444 2 роки тому
i needed this straight forward video for a very long time thank you so much :)
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
A pleasure to be of help Shubham, would try my best to upload more such quality videos! 👍
@ibrahemtaha8177
@ibrahemtaha8177 3 роки тому
one the most amazing videos I've ever seen!! short, direct, with examples and photos!!! Many thanks for sharing brother!! plz continue share everything about subjects like AI and Quantum
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Sure Ibrahem, will do... Thanks for your love, appreciation and support ❤️💯👍
@udaykumar4B3
@udaykumar4B3 Рік тому
Excellent job 👏 Very helpful to see overall view of all the models
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Thanks Uday for your love, support and appreciation. I’ll try my best and share more such quality videos! ❤️👍
@adityajha4373
@adityajha4373 4 роки тому
Thanks sir... Much appreciated ❤
@learnwithwhiteboard
@learnwithwhiteboard 4 роки тому
You're welcome 😊
@FabianBarajas
@FabianBarajas 11 місяців тому
Thanks for posting this video. Your explanations make it really easy to get a high-level understanding
@learnwithwhiteboard
@learnwithwhiteboard 10 місяців тому
Glad it was helpful! 🙏❤️
@udaykumarchittala7375
@udaykumarchittala7375 3 роки тому
After seeing this video i got a clear idea about all the models thank you😀
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Happy to help! 😄
@anandnarvane8755
@anandnarvane8755 2 роки тому
He has expainened all branches of machine learning ......that is good for biginers like me. To understand ml..
@khaledzoheir7566
@khaledzoheir7566 2 роки тому
Wow, excellent and to the point. Great work
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks Khaled for your love, support and appreciation ❤️👍
@user-sm5jz5zq9p
@user-sm5jz5zq9p 2 роки тому
Thank you for the summary of the machine learning. Hope i meet more usage and example video which comes from Machine Learning.
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks for your love and appreciation. I will try my best to deliver more value centric videos! 👍❤️
@TheBuzoTechie
@TheBuzoTechie 2 роки тому
Great video, very useful for the machine learning library I plan on making :)
@saipri
@saipri 2 роки тому
Very well explained! look forward to more such videos...
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Hi Priya, thanks for your kind words & appreciation ❤️👍, will try my best and produce more such quality videos. Have a great day!
@Kurtmind
@Kurtmind 2 роки тому
This is a very informative video! Well done !
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Glad it helped! Thanks for your love, support, and appreciation! 👍❤️
@PavelPospisil1
@PavelPospisil1 2 роки тому
Can you please provide the last summary shot of the video, with all methods on one page? Advertising new other videos are actually hindering the view of it. Excellent explanations, by the way, thank you.
@revasseurborn2000
@revasseurborn2000 3 роки тому
Liked !Subscribed ! Shared ! Request more clearcut videos like this !
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Sure Bhavna, will try to upload more quality videos like this and help people like to learn better & learn faster... Thanks for your support!
@revasseurborn2000
@revasseurborn2000 3 роки тому
@@learnwithwhiteboard :)
@Templar_of_the_Clean_Code
@Templar_of_the_Clean_Code 5 місяців тому
Very well edited man and the explanation was great!
@learnwithwhiteboard
@learnwithwhiteboard Місяць тому
Glad it was helpful, buddy!
@neerajshrivastava5600
@neerajshrivastava5600 2 роки тому
Awesome!!! Truly Outstanding content, Thank you.
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Glad it was helpful! I'll try my best and publish more such quality videos.
@suhasiniambare762
@suhasiniambare762 Рік тому
The summarising ML model is really good. It is very helpful.Thank you sir.
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Thanks for your love, support and appreciation ❤️👍 I’ll try my best and share more such quality videos with you!
@gracegitome2625
@gracegitome2625 Рік тому
The explanation is simple and easy to understand. Thankyou.
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Glad it was helpful!
@MrFischvogel
@MrFischvogel 2 роки тому
Thanks for making it so concise ! Top.
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thank you for your love, support and appreciation. I'll try my best and share more such quality videos with you. Cheers! ❤️👍
@rzbruno
@rzbruno 3 роки тому
That was a really nice summary!
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Glad to hear it! I'll try to publish more insightful videos like this one. Thanks for love & appreciation :)
@jonathanmardini4498
@jonathanmardini4498 Рік тому
great high-level framework for how to bucket different ML methods
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Glad it helped!
@thomasbates9189
@thomasbates9189 Рік тому
Very helpful. Thank you for making this!
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
A real pleasure Thomas, and thank you for your appreciation my friend! ❤️👍
@thomasbates9189
@thomasbates9189 Рік тому
For sure thanks for making quality educational content!
@thej1091
@thej1091 2 роки тому
great video. Highly underrated channel!
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks for your Kind words Kiran! 👍😄
@dharam35
@dharam35 3 роки тому
Great video, thank you !
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Glad you liked it!
@9zhivago
@9zhivago 3 роки тому
Fantastic and concise summary.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
I'm happy that you liked my work ❤️😃
@VikramRajuR
@VikramRajuR 3 роки тому
Thank you for the video and it is useful.. Small correction if I am not wrong.. In IV. Neural Network part You were saying about colours, i can see only blue colour at layer 4…
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Hello my friend, I just checked the video in neural network part, its green only at layer 4, layer 1 is blue.
@VikramRajuR
@VikramRajuR 2 роки тому
@@learnwithwhiteboard oh okay…
@Kajan81
@Kajan81 2 роки тому
Thank you. If i wanted to forecast retail sales, which model will i use? Some of the inputs I will be using is transactions date, if product was on promo, type of promo, units sold, sales value. Output to show predicted number of units to be sold today+10 days.
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Forecasting sales is a common and essential use of machine learning. To help you with your issue, I would recommend you to read this towardsdatascience.com/5-machine-learning-techniques-for-sales-forecasting-598e4984b109
@petermathes2061
@petermathes2061 2 роки тому
This is awesome. Package your stuff into a Udemy teaching course that rewards you for all this shared knowledge and wisdom about ML!
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Wow, thanks for kind words! I'm trying to create a course Peter, trying even harder to launch it soon. Once I have it live, I'll make sure to keep you posted. Thanks again for the appreciation. 😊👍
@alexlangevin8340
@alexlangevin8340 2 роки тому
No
@ricodsanchez6792
@ricodsanchez6792 Рік тому
@@learnwithwhiteboard Hi there, have you created a course yet? i would like to buy one from you. Kind regards
@JohnJonesJMJAtlanta
@JohnJonesJMJAtlanta 9 місяців тому
Just the info I needed. Thanks!
@learnwithwhiteboard
@learnwithwhiteboard 9 місяців тому
Glad it was helpful!
@everydayyoutube5544
@everydayyoutube5544 3 роки тому
What program do you use for the animation? (hand + animation)
@sunnysharma8965
@sunnysharma8965 3 роки тому
This looks like doodly
@RDayal-qr6ip
@RDayal-qr6ip 2 роки тому
excellent .You mean the hidden before output in green is processing ?I think I am wrong .Am a novice and am taking to learning through your website. Pardon me if the query seems absurd but pl clarify if it is not processing or the stages of programming which take you to the output then how do I understand. Not a process but a metod tomreach the output.?
@rose8968
@rose8968 2 роки тому
Good summary. Very helpful !
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks Emma for your love and appreciation ❤️👍
@petermorgan5645
@petermorgan5645 3 місяці тому
Really liked this video. Thanks very much!
@learnwithwhiteboard
@learnwithwhiteboard Місяць тому
Glad it was helpful, buddy!
@wlchao5852
@wlchao5852 2 роки тому
nice video, straightforward and comprehensive
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks for your love, support and appreciation, my friend 👍❤️
@sketchytv1321
@sketchytv1321 3 роки тому
good job done i learned quite well
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks Hasan for your love, support and appreciation ❤️👍
@sanjanabhattacharjee4682
@sanjanabhattacharjee4682 7 місяців тому
It was very helpful. Thank you.
@learnwithwhiteboard
@learnwithwhiteboard Місяць тому
Glad it was helpful, buddy!
@ighsight
@ighsight 2 роки тому
Good job. Smart devs should never forget about the newbs.
@hr2079
@hr2079 Рік тому
Good overview. Thank you for sharing
@krishanudutta2943
@krishanudutta2943 2 роки тому
Thanks a lot for this awesome video❤️❤️
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
My pleasure Krishanu 😊 I'll try and share more valuable videos like this. Thanks for you support, love and appreciation! ❤️
@CarlJohnson-jj9ic
@CarlJohnson-jj9ic 2 роки тому
What is the difference between *list = malloc (10) and **list = malloc(1); *list = malloc(10). What does the extra layer of a single point of indirection give us? Also the value of void * having a NULL class reference is lost on me if void is saying no value. Can we cast to void or something?
@user-saint
@user-saint Рік тому
Well done. Thank you.🙏
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Its a pleasure my friend! I'll try my best and share more such quality videos 😊
@jmc3179
@jmc3179 3 роки тому
Awesome video!
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks for your love and appreciation 👍❤️
@Rock4temps
@Rock4temps 2 роки тому
Super refresher, well done
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks Julien for your kind support, love and appreciation ❤️👍
@vigneshmamidi9774
@vigneshmamidi9774 2 роки тому
Thank you u made it simple to understand.
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thank you for your love, support and appreciation. I'll try my best and share more such quality videos with you. Cheers! ❤️👍
@tkalra
@tkalra 2 роки тому
nice explanation..i am working on a capstone project of using laptops for data storage instead of papers in business... which model should i ue here??
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
"using laptops for data storage instead of papers in business" I'm pretty unclear on the subjected application. I am not able to comprehend the use/need of AI/ML in this case. It would be great if you can ask your question more specifically.
@deepthirao9455
@deepthirao9455 3 роки тому
sir, could you explain decision tree classifier with k fold cross validation method. Plz.
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Sure Deepti, I'll give it a try! Thanks for your recommendation 👍👍
@alternbits
@alternbits 9 місяців тому
Thank you. it was awesome
@learnwithwhiteboard
@learnwithwhiteboard 9 місяців тому
Glad you liked it!
@mihiretuabj145
@mihiretuabj145 3 місяці тому
I like the explanation of MLDL, thanks
@learnwithwhiteboard
@learnwithwhiteboard 3 місяці тому
You are welcome, my friend!
@johnlaw3276
@johnlaw3276 2 роки тому
this is really good, thank you
@localguy123
@localguy123 2 роки тому
Great content ❤
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Thanks Bhavick for your love, support and appreciation ❤️👍
@os2171
@os2171 Рік тому
I have a question, regarding wanting to go into the industry to apply my knowledge of statistics... it is possible to translate my knowledge into a job coding machine learning methods? here is my background: I am a neuroethologist with a large background (+15 years) in all of these (statistical) methods EXCEPT that I use them to study behavioural (animal communication, acoustics, locomotion, associative learning) and neuro-cognitive (drug/neuromodulators effects on behaviour; electrophysiology) and even ecological-hydrological data...now at the end of my PhD in neuroscience and after 4 publications in peer-reviewed scientific journals I am thinking in using my skills into the industry...and finding a real job... I also know some coding with R and Phyton... I would appreciate any guidance
@jmp0207
@jmp0207 3 роки тому
Great video! Keep up!
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks, will do! ❤️👍
@nirshahar9884
@nirshahar9884 3 роки тому
What about reinforcement learning?
@tamalmajumder7160
@tamalmajumder7160 2 роки тому
I needed this . KNN falls under which category?
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Hi Tamal, K Nearest Neighbor (or KNN) algorithm falls under the Supervised Learning category and is used for classification (most commonly) and regression
@harshpimpalkar5948
@harshpimpalkar5948 3 роки тому
Great work 👍👍
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks Harsh for your support and appreciation ❤️👍
@hichem1123
@hichem1123 2 роки тому
What about reinforcement?? Is it a third ML MODEL ( DL is an ML)? Is it an unsupervised learning?
@mahathirislam9486
@mahathirislam9486 Рік тому
Are these models also referred as techniques?
@marcfruchtman9473
@marcfruchtman9473 Рік тому
Great stuff. Thanks for the overview video. Background music is much too loud tho.
@nikitajit6343
@nikitajit6343 3 роки тому
Thanks a lot
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Most welcome :)
@jeremyheng8573
@jeremyheng8573 2 роки тому
Good explanation. How about NLP?
@kumarnityanand4731
@kumarnityanand4731 3 роки тому
Appreciated 👏👏👍👍👍👌
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks for liking 👍❤️
@juicyburgi1944
@juicyburgi1944 Рік тому
Ty, this helped me alot in my report!
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Glad it was helpful! I'll try and share more such valuable videos with you.
@quratraja7391
@quratraja7391 2 місяці тому
Very well explained!
@xaverpfk
@xaverpfk 5 місяців тому
Great overview. Thanks
@anirbanaws143
@anirbanaws143 3 роки тому
Subscribed and liked!
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks a lot Anirban, love your support!
@PerfectlyNormalBeast
@PerfectlyNormalBeast 2 роки тому
Great summary As a visual person, it would have helped if you zoomed out occasionally when jumping topic to topic, so I could see the tree
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Hello my friend, Thanks for the feedback, I'll incorporate this in my future uploads. Have a good day ☺️👍❤️
@parleria
@parleria 2 роки тому
Great video. But I would include reinforcement learning on the same level as supervised and unsupervised. It's a whole different thing. And you are also missing recommendation systems btw
@learnwithwhiteboard
@learnwithwhiteboard 2 роки тому
Great point! I'm working on a fresh video that'll explain just reinforcement learning and will account for your feedback during the curation stages.
@parleria
@parleria 2 роки тому
@@learnwithwhiteboard looking forward to your next video ! Greetings from Paris, France ! Keep up the good work :-)
@Saou8794
@Saou8794 Рік тому
thank you it's really good explaining
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Glad it was helpful!
@kellyarmstrong3683
@kellyarmstrong3683 3 роки тому
perfect video
@learnwithwhiteboard
@learnwithwhiteboard 3 роки тому
Thanks Kelly for your love and appreciation ❤️👍
@whatsurb
@whatsurb Рік тому
this video is very helpful for interview purposes.
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Thank you Surabhi for your appreciation ❤️👍
@samankhan3728
@samankhan3728 Рік тому
Classification or regression which one has ordered data and unordered data?
@Randomuser11231
@Randomuser11231 Рік тому
Great intro for the beginners.
@AppleOceanus
@AppleOceanus 6 місяців тому
Great insights! For an expanded view, consider a book with correlated material. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills
@rodrigomericq5296
@rodrigomericq5296 11 місяців тому
great explanation, congratulations
@learnwithwhiteboard
@learnwithwhiteboard 11 місяців тому
Thanks Rodrigo for your kind words and appreciation ❤️👍
@freespirit1869
@freespirit1869 Рік тому
hello what about predictive models for soccer betting? Do you think that this can be done?
@learnwithwhiteboard
@learnwithwhiteboard Рік тому
Yes, it surely can be done. Though the accuracy of such a model lies at 50-65%. You can follow the following steps: get historical data, align your data sets, do respective feature engineering, define and build a supervised machine learning algorithm (random forest, EDA & neural networks), test and improvise on your approach. Hope this helps!
@codingpathshala559
@codingpathshala559 Рік тому
We can use PCA( Dimensionality reduction) in Supervised learning too !!! Isn't it ?
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