Mathematics fundamentals for ML AI (for dummies like me)

[Spartan]

On 2/1/2025 at 1:59 PM, kevinUsa said:

Fee enta untadi colleges kipart time aitay ??

For International students and locals..

Or college name cheppu

https://catalog.collegeofsanmateo.edu/current/courses/mathematics/math-200.php

@csrcsr

[Thokkalee]

3 minutes ago, Spartan said:

https://catalog.collegeofsanmateo.edu/current/courses/mathematics/math-200.php

@csrcsr

@csrcsr college ki poyaka walking style marchipoku.. 

[Jatka Bandi]

🙏

[Thokkalee]

[LaurenDavid]

Master Mathematics fundamentals for ML and AI with this beginner-friendly guide that simplifies linear algebra, calculus, and probability concepts—perfect for anyone starting their machine learning journey. At the same time, if you’re preparing for the Salesforce Developers PDI - Platform Developer I (Plat-Dev-201) exam, boost your confidence with expert-verified study materials from DumpsBuddy. Access real exam questions and practice tests here: https://www.dumpsbuddy.com/pdi-certification-exam.html to ensure first-attempt success and advance your Salesforce development career.

 

 

 

[BattalaSathi]

On 1/31/2025 at 11:08 PM, csrcsr said:

for people who are looking for some Math refresher who did not understood the concept in school/college/uni like me (just passed for the sake of exam) or people who are not from math back ground or you just want to refresh as hobby where you can teach your kids after a decade found some interessting sources free unapdu chudandi and also share if you find any thing interesting

For people who are comfortable with math just ignore this might be too basic for you

 

Also math is not needed as we are not going to be data scientist and we are not going to develop a new LLM that is correct but to use which algo to use in what scenarios you need some fundamentals (at least i am lacking) no harm in learning as said earlier worst case mee kids ki chepochu when they grow up

 

if you want deeper study this book is good but i am getting lost nenu only linear algebra start chesanu 

https://mml-book.github.io/book/mml-book.pdf

geekforgeek which is usually basics but they covered the topics which you need to be comfortable 

https://www.geeksforgeeks.org/machine-learning-mathematics/

 

if you want to learn deeper https://www.youtube.com/@3blue1brown best channel hands down but it can get advanced and more time

for some fundamentals interestingly not popular channel this guy explained very well

 

nee yavva..endhi idhi fundamentals aaa?  eee lekkana Advanced elaa untadho .. nenu jumpu vayya to fafala theddu .. 

[Teluguredu]

You need 

 tensor operations for feature mixing ,just need to when to perform what operation .

Working understanding of limits , differentiation integration ,don't need deep understanding 

Mostly to understand backpropagation and integration to work with continuous functions 

Probability - conditional probability and bayes theorem,  dependence and different  distributions and measures of central tendency and spread.

Rest all are just extensions of these basic topics and advanced theorems which you can google when you are stuck.

Mostly just what you have learnt in btech but need to brush up on a few topics.

I just watched the andrej karpathy series where he explains from basics and branched out from there and searched for things I didn't understand.

I have only posted about the topics that I feel are barely minimum ,other advanced topics you can learn easily if you have foundation from these.

If you are struggling to form intuition for any topic reply here  will reply when I have time.

[Paamu]

18 minutes ago, Teluguredu said:

You need 

 tensor operations for feature mixing ,just need to when to perform what operation .

Working understanding of limits , differentiation integration ,don't need deep understanding 

Mostly to understand backpropagation and integration to work with continuous functions 

Probability - conditional probability and bayes theorem,  dependence and different  distributions and measures of central tendency and spread.

Rest all are just extensions of these basic topics and advanced theorems which you can google when you are stuck.

Mostly just what you have learnt in btech but need to brush up on a few topics.

I just watched the andrej karpathy series where he explains from basics and branched out from there and searched for things I didn't understand.

I have only posted about the topics that I feel are barely minimum ,other advanced topics you can learn easily if you have foundation from these.

If you are struggling to form intuition for any topic reply here  will reply when I have time.

Idi kooda untadaa btech lo. 

[Teluguredu]

1 minute ago, Paamu said:

Idi kooda untadaa btech lo. 

Yes.