Find-S Algorithm (concept) | Machine Learning (2018)

Find-S algorithm tends to find out the most specific hypothesis which is consistent with the given training data.
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[@siddharthkshirsagar2545]

Hats off, this is the best explanation on whole internet.

[@manojkedlay5274]

Thanks..... tommorow is my ml exam and u cleared my doubt on this topic

[@meghanabhushan5875]

Ohhhh my God. ...really great. ...ivaga nange Find s algorithm complete ago arta aytu. .......thnk uuu

[@pradyumnakubear5366]

Kannada davra neevu

[@mr.melomaniacnextdoor6840]

nale nandu lab internal xD

[@purplegalaxy5265]

WOW!! That was TOO ACCURATE!!! Thanks a ton!

[@digvijayk2605]

Too good👌 wt a clear explanation 👏👏

[@CodeWrestling]

Thanks bro..

[@1786ayesha]

All topic explained v nicel..easily...we dont find topic concept learning as search topic...plz update video as soon as possible

[@ashusharma6097]

watching in 2021 .....best explanation

[@prasannavi1911]

awesome. I was trying to understand this concept for an hr. but this video made me understand in just 5 mins. Kudos.

[@CodeWrestling]

Thanks for appreciating...!! #CodeWrestling

[@arulmozhi1758]

Easy to understand
Plz upload more videos of machine learning

[@harikrishnan6137]

This is the best explanation. Thankyou

[@CodeWrestling]

Glad it was helpful!

[@SK-he1rp]

After a lot of search on RUclips l found this one which clear my concept
Thank you dost..

[@CodeWrestling]

Glad it helped. Please share with your friends and support us, so that you don't have to hustle a lot for finding this video.

[@suprabhatkumar5478]

U save my life brother....plzz upload python tutorials also

[@wasimKhan-zv1fe]

Wow findS algo with in 5 minute... hats off

[@muhammadazhar3033]

level kar diya hai sir thank u so much

[@jayansk1943]

very clear explanation. but the audio is low

[@rachnaguttedar6481]

Thankss a lot bro........
Finnally my search for a perfect vdo ended here, 😇😇All my confusions are cleared now about this topic., Keep it up & upload more such vedios on other Topics too.....It saved my lot of time.

[@roshinics7413]

Excellent......very effective and detailed analysis

[@tushithaarun5456]

Efforts made to teach by writing algorithm in flow chart and examples to real world are very useful Thankyou

[@choulvijay8281]

No more talk....... 💯 out of 💯

[@olexiykutsenko9328]

You have done so much work, thank you.

[@tejashreepaniharam7687]

You are the best... Thank you so much for the video.. Today I have an exam and it helped me a lot

[@CodeWrestling]

Glad it helped!
We also help in implementing projects. Reach us at [e-mail]

[@pazuzujindrich3001]

This was such a clear explanation. Thank you so much!

[@CodeWrestling]

Glad it was helpful!

[@AnubhavKumar117]

Very well explained 👍, thanks 😊

[@benaya6]

so clear and simple, and what's more its in a subject with not alot of explanations out there. thank you sir!

[@sumibafna2882]

Thanks for explaining so clearly 👍

[@sonucs978]

Nice clear explanation

[@abhishekr700]

Great explanation, though for some reason the sound of the entire explanation part was less, you can use any audio editing tool like audacity to pump up the volume track. Thanks !

[@CodeWrestling]

Thanks! stay tuned with #codewrestling

[@daniellec5771]

Thank you so much! I finally understand that!

[@prasannamutapally1850]

👏👏👏Great lecture!!

[@SKkiFriends]

Great Explanation

[@ichirag1362]

Best video on the topic... Thanks a lot brother :) !..

[@priyanka9133]

Good explanation...easy to understand..ty

[@prashanthkumar5987]

thank you bruh... you saved my day

[@CodeWrestling]

Anytime :-)

[@DeepakKumar-jh9mp]

We got that what we were finding thanks fantastic explanation 👍

[@CodeWrestling]

Glad it helped

[@mohammadisa7548]

amazing explanation. but your sound volume is a little low.

[@mr.aakash2005]

Great Explanation brother

[@nihith323]

great work !!! u deserve more..

[@CodeWrestling]

Thanks alot!!

[@dheerajkopparthi8985]

Great explaination 👏👏

[@RaviKant-kp9fs]

very good explanation.thanks

[@vishnunandan8940]

Excellent Explaination, I liked it.

[@CodeWrestling]

thank you!!

[@XaverButtinger]

Great. Thank you!

[@mysterybox4844]

I like your video and the colorful pieces of paper but you should really include credits to Tom Mitchell as this is straight out of his book "Machine Learning" by Tom Mitchell. Otherwise, nice video!

[@soumyanagral9184]

Thank you
It helped us

[@praddhumnasoni3364]

good explanation, thanks ...

[@tharunikavlogs1513]

Good explanation sir
Have videos on another topics of machine learning sir?
If u have plz put the link sir

[@sumanthchalavadi5579]

Good work keep going

[@arulmozhi1758]

Thank you so much

[@siddhiamilkanthwar8325]

Too good

[@prameetakadam4891]

Thanks, clearly explained 👍👍👍

[@khyatisingh85]

So helpfull, Upload more concepts of machine learning

[@CodeWrestling]

Sure I will

[@keerthanahk6471]

Thanks man! Very informative!!

[@CodeWrestling]

Glad it was helpful!

[@gayitrigudi6855]

Thank u

[@sudhalakshmis844]

Explain more topics in machine learning Bro😇

[@sathvikashettigar3423]

Good explaination...thanks

[@sadafilys]

Note: We are using '?' as there are only 2 values of the attributes. In case there would be more than 2 values of the attribute e.g. (Cool,Warm & Hot) and we got just 2 of these (Cool & Warm) so we'll not use '?' but instead of that we'll just use these 2 by using OR sign.

[@srinivaskatharguppe5584]

That would be the correct implementation if we indeed had more values like what you have stated. In this example its fine as there are no other values in the instance space. The video is great explanation

[@jasonschmidt1984]

expanding.. when four out of seven enumeration values for an attribute are part of specific example, it's a set of valid values. Similarly for negative examples, there would be a set of excluded values. There is also a well known issue with disjunctions in version spaces (try representing 'if any pair of attributes match, and no others do, then it's part of the concept) which I see lots of people have written papers about by this time! Finally, true contradictions. For this, in my opinion, you need to keep track of the specific versions of both the positive and the negative examples, and then the 'unknown' generalized space. When you hit a contradiction (one of the specific positives match one of the specific negatives) then you have to either a) split the concept, or b) deduce that there is a missing unknown attribute that is key to the concept. I haven't watched all of the videos here as of yet, so it's quite possible that these things are addressed there.

[@kameshs2739]

Excellent, Thank you so much bro!

[@danishuddin9752]

thanq sir

[@sangeethamaryr368]

It was really helpful......Thanks

[@CodeWrestling]

Glad it helped

[@Miminaysmn]

Thank you

[@sarthakvarshney11]

Dear sir, your channel have only 7 videos of Machine learning. I really like the way you have explained the concept. So, can you provide more content related to other topics??

[@CodeWrestling]

Will upload soon. Thank you!!

[@mohitmaheshwari2168]

Jiyo raja, ,👍

[@varshacm1444]

Sir please do upload all ml lab algorithm... videos

[@Randoms147]

toooo good explanation

[@korleparaprithvi]

great explanation ...brother

[@CodeWrestling]

Thanks for appreciating!!

[@kollaigeetha2515]

Thank you sir

[@hangchen]

I have a question. What if your sky contains 3 attributes like "Sunny, Rainy and Cloudy". Say the first two "Yes" instances have Sunny and Rainy, then will you still change "Sunny" to "?" in the second round? You haven't come across "Cloudy" yet, but changing to "?" will classify "Cloudy" as a "Yes". How should Find-S deal with it? Thanks

[@CodeWrestling]

in those cases, we will use inductive bias.

[@snehajakovvuri3657]

too good thanksss

[@yuvaranikannan9297]

Thanks so muchh:) Nice Explanation.

[@shaikrizwaan5543]

Amaze🔥🔥🔥

[@MekalalakshmiReddy]

Good explanation broo

[@CodeWrestling]

Thank you so much 🙂

[@nurussabha904]

Woow .....thank u soo much.

[@CodeWrestling]

Most welcome 😊

[@pradyumnakubear8561]

bro can you please demonstrate all the lab programs in ml

[@saitejareddy621]

Thanks namaste

[@akshayjagirdaar8905]

Cool 🤩

[@its_raksh]

good work

[@CodeWrestling]

Thank you! Cheers!

[@Sui_7K]

broo tooooo good ❤️❤️❤️❤️

[@sumanthns1538]

What is S in Find-S algorithm?might sound silly but a genuine question.

[@saurabhmittal6947]

Specific Hypothesis

[@IoTLearner]

Code for the example : github.com/rumaan/machine-learning-lab-vtu/blob/master/01.%20Find-S%20Algorithm.ipynb

[@CodeWrestling]

Thanks

[@vajjanagaraju2251]

My teacher 8 classes equal to u r 9 min video

[@edmundchan8923]

For each new attribute do we need to initalize the previous h as new h? or using the first initializing h?

[@arshadkhan-fr1cn]

The previous h

[@christopherchan5357]

Here 6 mins VS school 2 weeks

[@CodeWrestling]

Thanks alot!!

[@harshavardhan4523]

👌👌👌

[@CodeWrestling]

Thank You!!

[@balsongorai1521]

❤

[@mdharisusman6728]

Sexy explanation.

[@himanshuchandra5826]

increase your voice, its too low.

[@LaeTech]

Voice is very low

[@jathinbada3841]

omg

[@jathinbada3841]

unbeliveable ,fantastic,mind denging

[@lokeshs5962]

soundless video

[@CodeWrestling]

Sorry for that, we will focus on it, in our coming videos.

[@jsridhar72]

Highly abstract. Not very intuitive.

[@afrozkanavi9328]

Thank you

[@TheSquirrelyLife]

👌👌