Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	3	1	23A32501T	Applied Machine Learning	3.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file
1	Applied Machine Learning - 23A32501T (Theory)	23A32501T	23A32501T	Link

Book List

Sno	subject	title	author	publisher	edition	book_type	book_file	note
1	Applied Machine Learning - 23A32501T (Theory)	Hands-On_Machine_Learning_with_Scikit-Learn-Keras-and-TensorFlow-2nd-Edition-Aurelien-Geron	None	Oreilly	2nd	Textbook	Link	True
2	Applied Machine Learning - 23A32501T (Theory)	Machine Learning	Tom M. Mitchell	McGraw-Hill Science/Engineering/Math	None	Textbook	Link	True
3	Applied Machine Learning - 23A32501T (Theory)	Introductionto Machine Learning	Ethem Alpaydın	The MIT Press	Second Edition	Textbook	Link	True
4	Applied Machine Learning - 23A32501T (Theory)	Machine Learning The Art and Science of Algorithms that Make Sense of Data	Peter Flach	Cambridge	2012	Reference	Link	True
5	Applied Machine Learning - 23A32501T (Theory)	Machine Learning A Probabilistic Perspective	Kevin P. Murphy	The MIT Press Cambridge, Massachusetts London, England	2021	Reference	Link	True
6	Applied Machine Learning - 23A32501T (Theory)	The Elements of Statistical Learning Data Mining,Inference,and Prediction	Trevor Hastie Robert Tibshirani Jerome Friedman	Springer	Second Edition	Reference	Link	True
7	Applied Machine Learning - 23A32501T (Theory)	Deep Learning with Python	FRANÇOIS CHOLLET	MANNING SHELTER ISLAND	SECOND EDITION	Reference	Link	True

OnlineReference List

Sno	subject	title	note

Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File
1	23A32501T	Others	March 21, 2026	Before Material ref Current 3-2 Students	Download

Lab List

Sno	subject	date	title