Machine Learning Tutorial 3 - Intro to Models

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[@m.sulemankhan3992]

Looked all fancy videos but this old school way of teaching is where i get the clarity thanks man

[@walkmandede5958]

may be u r not the smartest person i’d ever seen, but learning things from ur lectures makes my life so much easier … nothing can beat the clarity you give thank you so much …

[@ufehboss2566]

Finally, you nailed it better than all other videos because you took time to emphasize on MODELS

[@jonahcornish6160]

THANK YOU, your quick summary at the end about how a model is the computers best guess (Based on its calculations) of reality really clicked with me. Doing modeling for an internship and feel like I understand what I am focusing on now!

[@MrCef1911]

Hi Caleb who is the author of the book you mentioned in the first few videos of this series. The book you said is Machine Learning for Predictive Analytics. I don't know the author and don't see it the name in your channel description

[@idad21]

Fantastic explanation of what a model is all about

[@rithmicgirl6320]

Hey.. your little laugh in between makes environment lite for learning.. 👍

[@IsaacLarbiOnline]

Very simplified and easy to understand, thanks for sharing your knowledge

[@choaib11]

Thanks, I shared this with my students, you are amaizing and I love it when you laugh as the topic is huge and you did your best to make it simple...

[@gnkarn00]

I suggest to add a sequence number to the videos , so it is easier to follow its progression.

[@MMAisFedor]

just be thankful, you damn ingrate.

[@santiagolicea3814]

I needed this so badly, thanks!!

[@ymlog6741]

Very simplified and easy to understand, Excellent video, please keep it up.

[@rajasekhar8032]

Wow this is great explanation of Models... I was trying to get understanding of Model and I did not find anything on net... You are awesome!

[@ArtOfTheProblem]

nice work, part of my research for a series on ai

[@abbasalhashimi9663]

Great effort, very simplified, I enjoyed it ! Thank you very much Dear Caleb :)

[@simarjitkaur2864]

srsly i needed sum explanation like that for my project.... thankyou very much....

[@yogesh_dabas]

Amazing Explanation .. thank you!

[@amaradiallo6645]

Brooooooooooooooo, you are damn good in explanation. Thank you so much for this great content.

[@arslanullahpractcingphyics8969]

wao what a fantastic explanation .. I highly endorse your efforts... from where you are taught ? can you please tell ?

[@rommelalastra5992]

so model is a representation of future reality?

[@radiagulzan]

So well explained like you always do :)

[@kareemsharawi4778]

Excellent explanation. Thanks a lot.

[@duckhorse2563]

Asante Ndugu

[@donaldpresnell1354]

Regardless of the analogy used the result of ML and modeling provides a probability ONLY and not an absolute certainty of a result. Let's be careful in how we present metadata with our selection of terms as we may discount the interdiscipline of Data "science"....rendering it to be a over simplistic process of statistical inference where there's a flaw.

[@rubensilva9726]

ok.

love this series

[@whatthefunction9140]

what does a model look like?

[@Drx703ba]

Amazing video! Please keep it up! :)

[@Shubh_music983]

how the historical data comes in use for devloping last four algorithm , it's seems to be that you entered all the possiblities of outcome but no use of historical data is there

[@kpgUser]

so we r feeding models to ML algo to predict result ...am i correct?

[@gnkarn00]

Thank you for your videos .

[@jaimelincovilc.3149]

Cool videos !!!

[@leorandomnickname]

Waiting the next video :)

[@UdayShivamurthy]

No you didnt make it 4k times more comples 👍😁

[@leorandomnickname]

Hey you need to improve your &

[@lemono1664]

i dont get it? this shit is pure math also is this python or c++?

[@samimehennaoui]

Like a chicken