https://docs.google.com/document/d/1sYyRoXKziRjnSyeQW2T9zfEnLD3yxg6L/edit?usp=sharing&ouid=112711162618141236570&rtpof=true&sd=true
ML unit-1 Notes
https://drive.google.com/file/d/1obrf_HXRtfAfP8rO4qP9Ztnk47fndgSG/view?usp=sharing The field of Machine Learning (ML) is fundamentally concerned with constructing computer programs that automatically improve their performance at some task through experience. A well-posed learning problem requires identifying three key features: the class of tasks, the measure of performance to be improved, and the source of experience. The document illustrates the design of a learning system through a checkers-playing program, detailing steps like choosing the training experience, the target function (such as an evaluation function $V: B \rightarrow R$), its representation (e.g., a linear function of board features), and a function approximation algorithm like the LMS weight update rule. The design is conceptually divided into a Performance System, Critic, Generalizer, and Experiment Generator. A core topic is Concept Learning , which involves acquiring general concepts from specific, labeled train...
Comments
part-B
Unit-1:2,3,5,12
unit-2:2,4,5,10,11,15
unit-3:1,2
MCQ
Unit-1:3,8,11,14
Unit-2:7,2,9
Unit-3:1,2,4
FIB
Unit-1:2,5
Unit-2:7,8
Unit-3:1,3
MTF
Unit-1:2
Unit-2:4
part-B
Unit-1:2,3
Unit-2:4,5,10
Unit-3:2
MCQ
Unit-1:1,9,6,13
Unit-2:5,8,12,15
Unit-3:3,4
FIB
Unit-1:8,11
Unit-2:4,5,14
Unit-3:2
MTF
Unit-1:4
Unit-2:3
Part-B
Unit-1:5,12
Unit-2:2,11,15
Unit-3:1
SET-1
Description
Unit-3:3,11
Unit-4:3,10
Unit-5:9,15
MCQ
Unit-3:10,12,15
Unit-4:1,5,8,15
Unit-5:10,11,4
FIB:
Unit-3:9,12
Unit-4:1,8
Unit-5:3,11
Matching:
Unit-4:1
Unit-5:3
Set-2
Description
Unit-3:6,14
Unit-4:4,11
Unit-5:5,14
MCQ
Unit-3:6,9,13
Unit-4:2,3,6,14
Unit-5:3,7,13
FIB
Unit-3:10,13
Unit-4:3,14
Unit-5:4,15
Matching
Unit-4:3
Unit-5:1