https://docs.google.com/document/d/1md1vxanGYxe-C3u8TymyS3rCcIDWDjnF/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
3 unit- 2,8,11,15,7,10,6,7,8
4 unit- 3,8,14,6,9,14,1,2,8,9
5 unit- 6,7,12,2,4,13,3,6
Fill in the blanks
3 unit- 7,14,10,15,11,12
4 unit- 4,15,1,13,2,3
5 unit- 5,10,2,5,3,9
match
3 unit - 1,3
unit 4- 1,3,1,3,4
unit3- 8,10,4,15,13,15
unit4- 1,12,10,1,5,8
unit5- 7,10,7,4,6,9