Скачать или смотреть Study Materials for DA-Paper in Gate 2024 | Reference Books | Lecture Videos and Notes

In this video, I have recommended an exhaustive list of study materials for preparing a Data Science and AI paper, Gate-2024. Following are the references

***Probability and Statistics****

Ross S M,Introduction to Probability Models
Ross S M,First Course on Probability

P.G.Hoel, S.C.Port and C.J.Stone, Introduction to Probability Theory,
P.G.Hoel, S.C.Port and C.J.Stone, Introduction to Stochastic Processes,

MIT probability video
   • 6.041 Probabilistic Systems Analysis and A...  
   • MIT RES.6-012 Introduction to Probability,...  

https://www.probabilitycourse.com/

***Linear Algebra****
Gilbert Strang Video -    • Gilbert Strang lectures on Linear Algebra ...  

Introduction to Linear Algebra by Gilbert Strang
https://math.mit.edu/~gs/linearalgebra/

Linear Algebra and Its Applications by David C Lay

***Optimization****

Numerical Optimization - Shirish Shevade | IISc - NPTEL -
   • Numerical Optimization - Shirish Shevade |...  

***Machine Learning****

Pattern Recognition - PS Sastry | IISc - NPTEL -
   • Pattern Recognition - PS Sastry | IISc - N...  

Stanford CS229: Machine Learning Full Course
   • Stanford CS229: Machine Learning Full Cour...  

Introduction to ML by Piyush Rai (IIT-K)
https://www.cse.iitk.ac.in/users/piyu...

Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012
Christopher Bishop, Pattern Recognition and Machine Learning, Springer, 2007.

Artificial Intellegence (AI)

An Introduction to Artificial Intelligence by Mausam
   • An Introduction to Artificial Intelligence  

By Prof Deepak Khemani
   • Artificial Intelligence - Search Methods f...  


Telegram Channel Link - https://t.me/kishalaydaskd

Timecodes

0:00 - Introduction.
1:55 - Probability and Statistics
6:15 - Linear Algebra
8:36 - Calculus and Optimization
9:55 - Programming, Data Structure and Algorithm
11:42 - Machine Learning
15:11 - Artificial Intellegence (AI)
16:39 - Database Management and Warehousing:
18:03 - Conclusion.

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