https://docs.google.com/document/d/1HItC1zLAghjZP3Tg38YOTNm6d-6NKiSW/edit?usp=sharing&ouid=112711162618141236570&rtpof=true&sd=true
https://drive.google.com/file/d/1tYGU8wcdo-z3UdqgZjKIg6TUlaLpm3qk/view?usp=sharing
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...
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Set-1
MCQ
unit-1:1,4,7,9
unit-2:2,7,10,12
unit-3:1,3
FIB
unit-1:1,3,11
unit-2:4,8
unit-3:2
MFQ
unit-1:1
unit-2:2
Dis(part-B)
unit-1:2,12,6
unit-2:4,1
unit-3:2
Set-2
MCQ
unit-1:2,5,9,13
unit-2:4,9,11,14
unit-3:2,5
FIB
unit-1:3,9,14
unit-2:10,13
unit-3:4
MFQ
unit-1:3
unit-2:1
Dis(part-B)
unit-1:3,6,1
unit-2:3,12
unit-3:1
📌 MCQs
Unit-3: 5, 8
Unit-4: 2, 5, 10, 12
Unit-5: 2, 3, 9, 15
📌 Fill in the Blanks (FIB)
Unit-3: 5
Unit-4: 8, 12, 14
Unit-5: 2, 13
📌 Medium/Long Answer (MFQ)
Unit-4: 1
Unit-5: 3
📌 Descriptive (Part-B)
Unit-3: 8
Unit-4: 1, 7, 10
Unit-5: 9, 12
📌 MCQs
Unit-3: 6, 10
Unit-4: 2, 5, 12, 15
Unit-5: 3, 8, 12, 14
📌 Fill in the Blanks (FIB)
Unit-3: 12, 14
Unit-4: 5, 2
Unit-5: 4, 15
📌 Medium/Long Answer (MFQ)
Unit-4: 1
Unit-5: 3
📌 Descriptive (Part-B)
Unit-3: 7, 11
Unit-4: 8, 15
Unit-5: 6, 8