Calculus Concepts For Data Science|Calculus for Machine Learning|Mathematics for Data Science

[@UnfoldDataScience]

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[@ShubhamSharma-by5rx]

To be very honest, i think this man is teaching in a far better manner more than some big techie guys. Kudos bro, you are too good

[@UnfoldDataScience]

Thanks Shubham, your comments keep me going.

[@monikagadre9229]

Without wasting time of the user you concentrate on explaining the concept. Really appreciate the commendable selfless work that you are doing.

[@UnfoldDataScience]

Thanks Monika.

[@william061490]

This guy has explained Calculus in a very easy and fundamental form!

[@UnfoldDataScience]

Thanks william

[@gadmuhirwa5226]

since my primary, secondary and University it is the first time I am understand and clear where these two concept are used

[@ReddiKumarB]

Excellent !! Thanks for making me understand the concept which I learnt blindly in school days..

[@UnfoldDataScience]

Thanks a lot :)

[@venkateshpolisetty8072]

Super sir. Everyone is telling what to learn and how to learn, you opened a way and said what is the use of learning maths for D.S. Thankyou

[@UnfoldDataScience]

Welcome Venkat.

[@sadhnarai8757]

Excellent explanation, I was looking for all these info at one place for so long :)

[@UnfoldDataScience]

My pleasure. Stay tuned for more videos :)

[@somanathking4694]

I have gained a lot of knowledge from this video it actually helped my scattered brain!!

[@NUNNASREYA]

Online teaching and videos are so much more informative than websites ..great explanation

[@UnfoldDataScience]

Glad you think so :)

[@wanderlust_with_sankhdeep]

Very impressive. Each and everything was explained in detail

[@putrisariasih22]

this guy is amazing at explaining things, glad i found this channel! please keep making this kind of video.

[@UnfoldDataScience]

Your comments are my motivation. Thanks a ton.

[@putrisariasih22]

@@UnfoldDataScience i hope there would be so many videos explaining about the concept of math and its application in the field of data.

[@JitenPalaparthi]

Wonderful explanation

[@vishwaschole8372]

Great sir thank you🙏

[@UnfoldDataScience]

Thanks Vishwas.

[@FatherOfENKM]

nice video. i'm just getting into machine learning and honestly your videos help me a lot. thank you

[@UnfoldDataScience]

You are most welcome. I appreciate your comment.

[@prajaktakadam2010]

thank you so much! dis was really helpful.

[@UnfoldDataScience]

Welcome Prajakta.

[@bishwasapkota9621]

Very nicely explained!!! Thanks

[@UnfoldDataScience]

Thank you Bishwa. Keep Learning !

[@umeshrawat8827]

Brilliant explanation. Thank you.

[@gauravmalik5760]

Awesome explanation

[@pankajverma9742]

what a nice way to explain mathematics .... i dont like to play mathematics lecture but this lecture force me to watch completely.

[@UnfoldDataScience]

+PANKAJ VERMA Thanks Pankaj for your valuable feedback. It means a lot to me. Stay tuned for more videos. Thanks again.

[@aslamcoding]

Thanks you Data Scientist Ji.
I m very happy to learn from u.
You teaching method is amazing.

[@UnfoldDataScience]

Thanks Aslam, keep watching. Starting NLP playlist from today.

[@sumitbagga2504]

Long live bro.. Excellent Explanation..

[@UnfoldDataScience]

Thanks Sumit.

[@skiran5129]

love you sir... and your teaching......

[@UnfoldDataScience]

Thanks again Kiran.

[@saivamsydhulipala7746]

Amazing explanation in simple language! Thank you very much!! :)

[@UnfoldDataScience]

You are welcome Sai.

[@monikagadre9229]

Thank you for your videos. They are very helpful and very simple to understand even for a beginner.

[@UnfoldDataScience]

Your comments are my motivation.

[@Ajay-wg3kg]

Excellent video! Keep up the great work. Thank you.

[@UnfoldDataScience]

Thanks Ajay. keep watching. More knowledge on the way :)

[@prashantjain1191]

mazza aa gya aman bhai.. kya padhate ho tum yaar !!

[@krishnendudutta1465]

Excellent sir

[@UnfoldDataScience]

You are welcome.

[@sandipansarkar9211]

AWESOME EXPLANATION.nOWHERE HAS BEEN EXPLAINED LIKE THIS

[@UnfoldDataScience]

Glad it helped Sandipan.

[@WasimKhan-yi1et]

Great Sir

[@hai7263]

Great stuff! Thank you Aman!

[@UnfoldDataScience]

You are welcome. Keep watching :)

[@keshavkrishna2723]

Thats agreat explaination bhai

[@bs-gp8bl]

@UnfoldDataScience Thank you💛 Bro

[@milisneha7068]

👏🏻👌🏻Nice. Thank you Aman for explaining clearly 🙏🏻

[@UnfoldDataScience]

You are welcome Sneha :)

[@kaz-ittraininghub9388]

Excellent video

[@UnfoldDataScience]

Thanks Shahnawaz. Happy Learning :)

[@vaishaliharsulkar6618]

Best ever !!!!

[@nabeelahmed2502]

Very well explained. Good luck Sir

[@UnfoldDataScience]

Thanks Nabeel.

[@Klynoldev]

Very informative

[@kanhataak1269]

Thanks dost really great explanation

[@UnfoldDataScience]

Most welcome :)

[@ajaymane3101]

nice explanation

[@UnfoldDataScience]

Thanks Ajay.

[@soumyas.tripathi5534]

Hey there, Aman! I wanna master Artificial Intelligence. The problem is that I'm just 12 years old and the level of maths AI requires isn't of my level. Like Linear Algebra, Calculus, Statistics and Probability. Could you please make a video and help me out with it?
Thanks!

[@UnfoldDataScience]

Hello Soumya, good to know. Yes we can discuss things over email. Please mail me your queries in detail. My email id is in description of the video.

[@soumyas.tripathi5534]

@@UnfoldDataScience Thanks for replying:)

[@atifhameed540]

Are you going to making full playlist tutorial of data science for new comers . Thankx

[@UnfoldDataScience]

You can go to my playlist and find the different playlist created for beginners.

[@anjalisamazingworld8434]

Very nice explanation 👍

[@UnfoldDataScience]

Thank you.

[@sangrammishra9923]

very informative video please cover CLT, Confidence interval video

[@UnfoldDataScience]

Sure Sangram. Thank you.

[@sunithajanganolla9996]

Best explanation possible👏

[@UnfoldDataScience]

Thanks Sunitha. Appreciate your comment.

[@visa8413]

This video is perfect

[@UnfoldDataScience]

tq

[@paragjp]

Hi Thanks pl focus on maths and statistical concepts required for Machine learning and Deep learning. Can you also suggest some books required from beginners level to intermediate level ? Thanks

[@UnfoldDataScience]

Hi Parag,I already have a playlist on my channel please watch that. I will add more videos to it going forward. Thanks for your feedback. Stay Safe. Take care!

[@paragjp]

Thanks brother you too remain safe and take care

[@ramramaraju2221]

Pls prepare playlist for Python,math, machine learning,deep learning...
That will be more clear for all of us.... Great one :)

[@UnfoldDataScience]

+ramaraju vuppu Hi Ram, you can get the link for Introduction to data science playlist in description of this video. I will put the videos in python playlist as well. Statistics ML and DL will be ready soon. Thanks for your feedback:)

[@vijayendrashrivastava9178]

Thanks very nice...

[@UnfoldDataScience]

Most welcome

[@satyaprakashpandey6911]

Great video loved it..but it will be more comfortable for viewers if you make separate playlist for python, statistics, ML,etc. It will help us a lot.

[@UnfoldDataScience]

+Satyaprakash Pandey Thanks Satyaprakash. Yes you can find data science introduction playlist link in description of this video. I plan to created separate playlist for python, machine learning, deep learning, statistics as well.

[@jyotikadgi395]

Hi Aman, recently started to watch your videos, hats off to you bro, you are really amazing, today I get to know practically why derivative of x2, is 2x, One request to you, can you make videos on tools used by Data scientists other than python, to survive in new job such as GITHUB, DOCKER, PYSPARK and Any other tool which are compulsive for Data scientists. Please make a video on that Aman.

[@UnfoldDataScience]

Yes sure Jyoti. Please join this Sunday live for docker session.

[@sandipansarkar9211]

finished watching

[@keerthanavivin450]

Great video! So easy to understand.

[@UnfoldDataScience]

Thanks Keerthana.

[@manideepgupta2433]

Thanks for stuff, where finding on Internet is very difficult! 🔥

[@UnfoldDataScience]

Happy to help!

[@ShaidaMuhammad]

Thank You so much. It helped me very much. 😘

[@UnfoldDataScience]

You are welcome Shaida :)

[@jackiekutty]

X squared is a even function right ...so it's symmetrical about the y axis , if so then how can curve have different slopes ? Can u please clarify

[@GopiKumar-ny3xx]

Amazing video Aman, thank u so much :)

[@UnfoldDataScience]

Your are welcome :)

[@indianpilot6288]

*Hii sir I m new here actually sir I m going to pursuing CSE.Before starting my first semester I m watching ur this video. Is it useful for use... I like ur teaching method.*

[@UnfoldDataScience]

All the best

[@mariawilson6807]

Thanks sir

[@UnfoldDataScience]

Most Welcome Maria :)

[@bisckuttalks]

From ba background should i go fior Data science

[@pushkarp5072]

Sir I have 0 knowledge of calculus and want to know calculus as much as I need for data science

[@twocentswithdeb]

How much time should i dedicate to maths everyday for data science? I am also learning Python and doing basic python projects at the same time. My maths is extremely weak as i have forgotten pretty much everything about calculus and so on.

[@UnfoldDataScience]

Hi Deb, Please watch a video called "study plan for data science" on my UA-cam channel. It will give u answer of lot of your questions for sure.

[@parthsarthijoshi6301]

Plz teach chain rule

[@UnfoldDataScience]

Chain Rule I think I covered in one of the video, not able to recollect, however I will note this topic.

[@themynamesb]

again so nice explanation !!

[@UnfoldDataScience]

Thanks again!

[@shubhamnehete8020]

what does the area conclude which u have calculated using integration?
I mean to say, in business, what does it indicate or tell?

[@UnfoldDataScience]

Many places it is used, for example probability density

[@himanshusinha09]

Good one!

[@UnfoldDataScience]

Thank you

[@anmol_seth_xx]

Sir how x square here is converted to x cube/3 in Integration part?

[@firstkaransingh]

Thank you

[@UnfoldDataScience]

Thanks Karan. Happy learning. Tc

[@gopiramankumar2231]

Very nice explanation :)

[@UnfoldDataScience]

Thank you so much Gopi :)

[@adityaghosh8601]

Nice video subbed. Please make videos on partial derivative refresher. As it is widely used to differentiate loss function.

[@UnfoldDataScience]

Thanks Aditya For your feedback. yes noted the topic.

[@dontsaygabe]

How much calculus would you say is necessary for a career in data science? I keep hearing DiffEQ and linear algebra, which is calculus 1-4 :-O

[@UnfoldDataScience]

To start with understanding differentiation, integration, maxima, minima,optimization etc are sufficient in calculus.

[@awaisrajput3227]

Loved your explanation.
I have a request. Plz sequence ur playlists. So we can easily follow which playlist to learn first. Thank you.
Love from Pakistan.

[@UnfoldDataScience]

Good Suggestion Awais.
First you can got to "Introduction to data science" then "Statistics for Data Science" then "Python for Data Science then" then "End to End ML" then any other playlist based on your choice :)

[@awaisrajput3227]

@@UnfoldDataScience thank you for the reply.

[@forsaken981]

Sir can you make a more elaborate but compact course of calculus for ml

[@UnfoldDataScience]

+Goldbridge Fan Hi, I created this video for covering high level calculus concepts which we must know so that understanding machine learning and deep learning is not difficult, however there are more to know when it comes to various algorithms. I plan to cover those concepts when I discuss algorithm in particular. Stay tuned for upcoming videos and all the needed topics will be covered. Thank you

[@AmitKumar-er6fz]

What double differentiation and double integration mean

[@sumant9189]

Thank you sir.
Good one.

[@UnfoldDataScience]

+SUMANTA KUMAR BEHERA You are most welcome. Hope you doing good Sumanta :)

[@arvindroy2849]

Thanks for excellent explanation. :)

[@UnfoldDataScience]

+Arvind Roy You are most welcome. Stay tuned for more videos :)

[@Pk-tw6li]

Is this much enough calculus to pass the data science admission test ?

[@surajgupta6962]

sir, can you plz tell me what is the use of that 2x derivatives ?

[@UnfoldDataScience]

If the second-order derivative value is positive, then the graph of a function is upwardly concave. If the second-order derivative value is negative, then the graph of a function is downwardly open.
This knowledge can be used in practical scenario

[@surajgupta6962]

@@UnfoldDataScience ohk sir thank you ..!

[@ragulshan6490]

please make a video on backpropagation!!!

[@UnfoldDataScience]

Hi Ragul, yes I will do that in my deep learning videos. Thanks for the feedback.

[@UnfoldDataScience]

Feel Free to post doubts guys

[@UnfoldDataScience]

:)

[@vktrial1841]

Great. But can you explain comparing this with a business scenario. Like, how these slopes and those "areas" in the integration concern us? Sorry but I'm not able to relate the math with real life stuffs.

[@vivekjoshi3769]

Sir can you tell me why they say Btech is not necessary to become a data scientist ?
I am looking across linked in and other job portals. Eveb for a data analyst job they are saying you should have a btech or maths/economics/statistics as subject in Graduation.
Everyone nowadays saying anyone can become data scientist..doesn't matter if you had maths in graduation or not. Then why people like me who have tools knowledge have to struggle.
Please tell me so I that will go for MCA or Btech from distance course while working.
I have bsc graduation degree in non math background.

[@UnfoldDataScience]

Hi Vivek, there are two parts of it, one is gaining knowledge and other is getting interview calls.
If you are from some good university with BTECH/MBA etc then getting calls for interview becomes easier.
For your type profile, try to do a masters may be MBA or Masters in statistics/Master in mathematics etc
Then you should target for some small scale company for getting first job. This can give direction to your career.

[@albertodep]

thx!!

[@UnfoldDataScience]

Welcome Albert

[@preranatiwary7690]

Great content!

[@UnfoldDataScience]

+Prerana Tiwary Thank you Prerana :)

[@MuhammadUmarbotanist]

what is double normalization of data??

[@UnfoldDataScience]

Hi Umar, new term for me as well. Found out some links this one:
www.sciencedirect.com/science/article/abs/pii/S0305048318302287

[@manasbakhshi9034]

How can we use calculus in programming?

[@UnfoldDataScience]

Hi Manas, when you call some ML algorithm, calculus will be invoked internally.

[@lux27.42]

can i learn Calculus and Statistics at the same time ? thanks b4.

[@UnfoldDataScience]

Yes, absolutely

[@sparklingblue5621]

Hiii is this enough to crack data science apptitude test?

[@UnfoldDataScience]

Not enough but important calculus topics are covered here

[@nizamlootera3163]

I never expected that calculus is also imp for ML.................

[@UnfoldDataScience]

Thanks Nizam :)

[@rai183]

Post your doubts in comment section please.

[@UnfoldDataScience]

:)

[@satwaki007]

Which company did u job ?

[@UnfoldDataScience]

Pls check my LinkedIn

[@cyclotronclasses9332]

Sir in parabola...P1 willbe x, x^2 and not x, y^2

[@cyclotronclasses9332]

By the way , your explanations are superb sir !

[@UnfoldDataScience]

y=f(x)=x^2 for parabola

[@UnfoldDataScience]

Thanks a lot. Keep watching :)

[@UnfoldDataScience]

Thanks for feedback :)

[@aayushagrawal5109]

i dont understand the last calculation as yiu said you would remember from school from 12.58

[@UnfoldDataScience]

Ok Ashish, let me see that one once.

[@harinisampathu6470]

Hi.
Can you also please explain the Maximum Likelihood Estimation?
Thanks in advance.

[@UnfoldDataScience]

Sure Harini. Noted.

[@gokulrajt1298]

tanq bro

[@UnfoldDataScience]

Most Welcome :)

[@arpitdhote7637]

bro bring something for college students

[@vlogsofmohit2979]

2:40 graph is wrong

[@UnfoldDataScience]

Thanks for bringing this out, I checkex again, which point actually I have plotted wrong?

[@billabadsha6731]

Pagal Urdu main batao