Probability Vs Likelihood | Difference between Probability and Likelihood

Probability Vs Likelihood | Difference between Probability and Likelihood
#ProbabilityVsLikelihood #UnfoldDataScience
Hello ,
My name is Aman and I am a Data Scientist.
About this video:
In this video, I explain about the difference between probability and likelihood. I explain how probability is different from Likelihood with example. Below topics are explained in this video:
1. Probability Vs Likelihood
2. Difference between Probability and Likelihood
3. What is Likelihood estimation
4. Probability estimation
5. How is Probability different from Likelihood
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[@sreenathpgc]

I have gone through many videos for maximum likelihood for the last 24 hrs, you gave the excellent explanation with the example to make me understand the concept. Thank you brother.

[@warnerferraz1185]

Mesej yang jelas, struktur yang jelas, mudah difahami, terima kasih

[@carlscaglione2022]

Nice. Clear explanation because the distinction between being PDF-driven vs. event-driven or situation-driven is a crucial distinction

[@abdullahhadi5450]

out of other videos regarding this topic, it feels like your video clearly explains the objective that likelihood and probability achieve. I rarely comment, and when I comment on something then the video explanation is awesome 🔥

[@dhanushreeyadav1442]

very understandabel explanation sir thank u very much 🤝

[@nawfelnawfel4950]

Very clear like always thanks a lot

[@moopoo123]

Thank you. Very clear explanation.

[@lazykaori4953]

Thanks bro, this reallly cleared up a lot of stuff for me. Keep up the good work.

[@dodolookr]

very clear ， thanks

[@utkarshsingh2675]

nice video sir...thanks

[@devirajfly]

Very clear explanation ! Thank you

[@shooter5439]

great explanation

[@kmishy]

this video gave me a perfect explanation

[@archanamaurya89]

Hi, great video! Is there also a video on maximum likelihood estimation? If not, could you PLEASEEEE make one or refer a good article for me? Thanks much!

[@javid659]

If you plz hint, what we can assume y-axis values.

[@Anonymous00tttt]

Sir your concept is very good can you explain the latest version spss 29.0 bayesian output and likelihood curves in a seperate video

[@theplayer2647]

Thankyou very much sir 🙏🙏🙏 I am struggling from last 5 days for this

[@UnfoldDataScience]

Welcome.

[@thesirsaurabh]

Jio guru

[@NarendraKumar-vx5nh]

You relieved the burden

[@mahsaaa534]

Thank you so much for this video. the only video that helped me understand this today. You are amazing!

[@UnfoldDataScience]

Most welcome.

[@arshdeep9355]

best explanation

[@igudiaosarumwense6925]

Please, how can I get materials on Minimum likelihood.

[@piyalikarmakar5979]

Thank you so much sir for this vedio.. Kindly do more related vedios on estimations.

[@UnfoldDataScience]

Sure. Thank you.

[@giraganipallavi4594]

thq very much sir crystal clear explaination

[@UnfoldDataScience]

Thanks Pallavi.

[@morganvhulenda]

Helpful, thanks

[@UnfoldDataScience]

Thank you.

[@spaceadvanture6458]

You explained Better than my so called paid certification course

[@RobertWF42]

I learned likelihood as L(mu, sigma | x) for a single value of x rather than a range of values, which is equal to the density. For a range of x values x_0 < x < x_n the likelihood is then equivalent to the probability, correct?

[@naveensolanki9054]

No, the likelihood and the probability are not equivalent, even for a range of values of x.

[@sylwiagotzman5422]

It is probability either way, just it is called likelihood in one of the cases.

[@javid659]

Very well explained dear. Thank you.

[@UnfoldDataScience]

Thanks Javid 🙂

[@sandipansarkar9211]

finished watching

[@mehedeehassan208]

7:03 oped a new world for me ... thanks ..

[@UnfoldDataScience]

Welcome Mehedee.

[@mehedeehassan208]

Do you have kaggle profile.??.just want to follow and learn

[@santanuroy1351]

Is likelihood is also a probability distribution?

[@rohitbhosale4614]

Great! Sir, please cover " degrees of fredom".

[@UnfoldDataScience]

Sure Rohit.

[@dd1278]

Very clearly explained.

[@UnfoldDataScience]

Glad it was helpful!

[@KishanKumar-cr8hs]

very nice explanation sir

[@UnfoldDataScience]

Thank you

[@sudipnarayanchoudhury1112]

Pls cover Degrees of freedom..

[@UnfoldDataScience]

Already created, search with "topic name + unfold data science"

[@akashkumar-bq7cl]

Excellent and clear!but at what scenarios in the data science life cycle do we implement this?

[@UnfoldDataScience]

Thanks Akash. Will tell that part as well.

[@mlbasics6267]

@@UnfoldDataScience Thank you Aman, as akash requested could you please share some real world example it will become even more clear

[@makting009]

I think likelihood is mainly used in loss functions and parameters are used to draw that pdf.

[@prateeksachdeva1611]

very nicely explained

[@UnfoldDataScience]

Thanks Prateek. Pls share with friends

[@sayanmondal3876]

You are really a great teacher!! I wish you could be my mentor in the company.

[@UnfoldDataScience]

Thanks Sayan.

[@kingoftime1114]

Is this comple playlist is enough Statics used in data science???

[@UnfoldDataScience]

No, go to playlist ans watch more videos

[@adityaarvind6945]

Sir can you please explain the difference between validation set and test set

[@UnfoldDataScience]

Validation set to tune parameters of model Test set to find performance of model on unseen data

[@salonisingh6032]

WAITING FOR MORE VIDEOS IN DATA SCIENCE. PLS SIR

[@UnfoldDataScience]

Hi Saloni, you can visit playlists and watch all videos of your choice. www.youtube.com/@UnfoldDataScience/playlists

[@shekhy123]

Thanks a lot. I was not getting it.

[@UnfoldDataScience]

Cheers Abhishek

[@kumarsamyak513]

what is log likelihood?

[@piero8284]

My big question is, is it common in machine learning papers to find this concept used in a interchangeably way?

[@UnfoldDataScience]

Sometimes yes

[@makting009]

More data science maths videos

[@UnfoldDataScience]

Sure Sunreet.

[@kingoftime1114]

@@UnfoldDataScience is this playlist is is enought for data science maths portion?

[@himanshumangoli6708]

Sir can you please explain this topic on Naive bayes handling numeric features

[@UnfoldDataScience]

Noted Himanshu.

[@hybriddude007]

The likelihood of an Indian speaking in a funny way is 100, the probability that an Indian speaks in a non-funny way is 100%

[@UnfoldDataScience]

Thanks for feedback 😅

[@kavitakushwah4908]

Didn't get