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Parametric vs Non Parametric Machine Learning | Difference between Parametric and Non Parametric ML 

Unfold Data Science
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Parametric vs Non Parametric Machine Learning | Difference between Parametric and Non Parametric ML
#ParametricVsNonParametricMachineLearning #UnfoldDataScience
Hello ,
My name is Aman and I am a Data Scientist.
About this video:
In this video, I explain about parametric and non parametric machine learning methods. I explain with example what is the difference between parametric and non parametric machine learning with example. Below topics are explained in this video:
1. Parametric vs Non Parametric Machine Learning
2. Difference between Parametric and Non Parametric ML
3. What is parametric and non parametric machine learning
4. Parametric vs non parametric regression
5. Parametric vs non parametric
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6 сен 2024

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Комментарии : 63   
@sanyamjain840
@sanyamjain840 2 года назад
The basic idea behind the parametric method is that there is a set of fixed parameters that uses to determine a probability model In non parametric model, there is no fixed set of parameters available, and also there is no distribution (normal distribution, etc.) of any kind is available for use. This is also the reason that nonparametric methods have high accuracy. Therefore A non-parametric model will always have a higher prediction accuracy compared to a parametric model.
@UnfoldDataScience
@UnfoldDataScience 2 года назад
Yes true, Sanyam.
@fouried96
@fouried96 6 месяцев назад
High bias: Parametric models Low bias: Non-parametric models. Thanks for the video!
@Krishna-pn5je
@Krishna-pn5je 2 года назад
Hi Aman, very nice explanations. please find the below answers. The parametric models has high bias due to simplified assumptions on the data(i.e. data is linearly separable).Because of high bias we may have underfitted models which high training error and high CV error . The non-parametric models are overfitted models to the input data. They have low training error and high CV error. when there is any change in the training data the training error also increases.
@bruceWayne19993
@bruceWayne19993 2 года назад
we prefer non parametric models over parametric models for solving our problems. correct me if i am wrong?
@libeamlakbekele6345
@libeamlakbekele6345 2 года назад
Great explanation thank you Q How is Gaussian process regression non-parametric, I mean it assumes something at first which is the kernel. if we are assuming a prior how can we say something is non-parametric. Can you please explain this
@tempura_edward4330
@tempura_edward4330 3 года назад
I was exactly looking for explanation on this topic and your video answered all my questions! Again, Thank you for your great work!
@tempura_edward4330
@tempura_edward4330 3 года назад
So parametric models tend to have more bias and non parametric models tend to have less bias but more variance.
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Thank you. Yes. Right answer.
@ArvindSingh-qc6si
@ArvindSingh-qc6si Год назад
in non parametric there should be low bias due to overfitting and in parametric there should be high bias cause of underfitting.
@jayashreehv5222
@jayashreehv5222 3 года назад
hi Aman, very clear explanation, appreciate the effort. Could you please help on statistical parametric and non parametric tests, when to use parametric and when to use non parametric tests
@vcalls9146
@vcalls9146 3 года назад
How the new data is handled after the model is moved to production. Example: During model development the categorical data is converted to 1 and 0 using one hot encoding... When the new data is applied in production how the categorical data or text data is processed..
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Very good question, all the preprocessing should happen on new data as well.
@CoderIRQ
@CoderIRQ 2 года назад
thanks Aman, very clear explanation
@UnfoldDataScience
@UnfoldDataScience 2 года назад
My pleasure Assad.
@AjayKumar-id7mb
@AjayKumar-id7mb 3 года назад
Thanks, Bro More Videos like this
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Hi Ajay.
@kidya-moohustories4764
@kidya-moohustories4764 2 года назад
thank you... cleared ans is non parametric group will have low bias as the work on population data
@kirandeepmarala5541
@kirandeepmarala5541 3 года назад
Hi Sir.Very Crystal Clear..Superly Explained..When Can we Expect Another Mock Interview get Uploaded..Thank you..
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Thanks Kirandeep.
@RamanKumar-ss2ro
@RamanKumar-ss2ro 3 года назад
Very good content.
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Much appreciated
@someshwarkapgate9796
@someshwarkapgate9796 3 года назад
thanks Sir, nicely explained
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Welcome Someshwar.
@HealthyFoodBae_
@HealthyFoodBae_ 3 года назад
Thank you- could you please do non parametric regression in Python? Thank you
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Will try to upload.
@antonioflores4240
@antonioflores4240 Месяц назад
Very well explained!
@soumikdey1456
@soumikdey1456 Год назад
Non parametric- low bias Parametric - high bias
@UnfoldDataScience
@UnfoldDataScience Год назад
Yes
@HealthyFoodBae_
@HealthyFoodBae_ 3 года назад
Also - when you say we need more data for non parametric, could you explain how much data is needed please
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Depends, at least 50k I would say.
@arkophredy
@arkophredy 2 года назад
Thanks for this video, I really appreciate it.
@akshayv6725
@akshayv6725 2 года назад
sir , how are all these implemented in real life . could you please explain?
@user-ur2en1zq4f
@user-ur2en1zq4f 2 года назад
loved it. thanks
@sudheeshe1384
@sudheeshe1384 3 года назад
Nice explanation bro
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Thank you 🙂
@sudheeshe1384
@sudheeshe1384 3 года назад
@@UnfoldDataScience bro please do the video on L1 & L2 regularization
@russellandrady
@russellandrady 7 месяцев назад
Great
@UnfoldDataScience
@UnfoldDataScience 7 месяцев назад
Thank you
@akvines6836
@akvines6836 2 года назад
Good but specking speed need to must me increase
@syantospeak112
@syantospeak112 2 года назад
Nice video sir
@UnfoldDataScience
@UnfoldDataScience 2 года назад
Thank you
@shubhamsinghrajput218
@shubhamsinghrajput218 Год назад
Thanks
@SeppyDawg
@SeppyDawg Год назад
Thank you!!!!
@UnfoldDataScience
@UnfoldDataScience Год назад
You're welcome!
@sarkersunzidmahmud2875
@sarkersunzidmahmud2875 Год назад
😍
@sandipansarkar9211
@sandipansarkar9211 2 года назад
finished watching
@akibhossain778
@akibhossain778 Год назад
great video!!
@UnfoldDataScience
@UnfoldDataScience Год назад
Thank you!!
@sahanipradeep5614
@sahanipradeep5614 2 года назад
thank you so much
@UnfoldDataScience
@UnfoldDataScience 2 года назад
Welcome.
@anirbansarkar6306
@anirbansarkar6306 3 года назад
Based upon the explanation, I will say, as parametric learning algorithms are provinding low fit models, they will have 'high bias'. As a result, they will perform poor (if compared with non-parametric ML algos) on both train and test data. On the other hand, as non-parametric algorithms tends to overfit, they might perform well with train data, but on real life data performace may degrade. So this is a case of 'high variance'. But I have a small doubt, when you said, we assume something about f(x) [and you gave a very nice real world example], what assumptions were you trying to imply? (I mean in terms of dataset, what are those assumtions, that we make on dependent variable of our dataset)
@UnfoldDataScience
@UnfoldDataScience 3 года назад
example like "Salary" is linear function of "experience".
@sandipansarkar9211
@sandipansarkar9211 3 года назад
great explanation
@UnfoldDataScience
@UnfoldDataScience 3 года назад
Glad you liked it
@minhazuddin722
@minhazuddin722 2 года назад
Collar niche rehta to ek decent teacher wali feeling aati video dekhne me. Bt aisa laga as if apna sutta partner samjha raha ho kch technical baatey.
@ShifatHossain-dj5wn
@ShifatHossain-dj5wn Год назад
High Bias: Parametric? Low Bias: Non parametric?
@abhijeetpatil3447
@abhijeetpatil3447 2 года назад
Non peremetric data becz giving high data
@ankurkapuriya5846
@ankurkapuriya5846 9 месяцев назад
Bhai thoda 2x mai bola karo, subeh exam dene b jana hai
@leen2298
@leen2298 Год назад
Thank you soooo much 🤍🤍✨, i was afraid from my final exam but now I’m not 😌
@UnfoldDataScience
@UnfoldDataScience Год назад
You're welcome 😊
@brianocorner6467
@brianocorner6467 Год назад
Pass HOA 😂😂??
@user-ur2en1zq4f
@user-ur2en1zq4f 2 года назад
loved it. thanks
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