10 июн. 2021 г. · Very heavy on theory and proof writing, so this course definitely feels like a math course. However, the problem sets challenge you to think ...

9 дек. 2023 г. · Computational Learning Theory Problem. I'm not sure how to solve this problem. I'm reducing from 3-DNF and trying to convert it to a 3-CNF which ...

9 дек. 2023 г. · Here is the problem I am interested in solving. I'm not sure where this problem is from but it looks like its from: A Gentle Introduction ...

4 апр. 2022 г. · It will establish methods, techniques and ideas that will be v useful in theoretically understanding algorithms and their performance e.g. ideas ...

12 июл. 2017 г. · I was doing some research into different areas of Machine Learning and came upon Computational Learning Theory. What form of research goes ...

25 сент. 2020 г. · I would like to know what the hardest problems and trending problems are in learning theory so I can get a sense if this area of research will ...

15 июл. 2021 г. · The basic theories are supervised learning, unsupervised learning, and reinforced learning. Looking on Wikipedia

6 авг. 2021 г. · As others have said on Reddit, Computational Learning Theory is challenging. However, it does not occur as such in the first weeks, aka ...

20 мар. 2024 г. · Yes. There is a growing sub-field of statistical theory that studies 'statistical-computational' gaps. Many of the proof techniques are ...

22 апр. 2021 г. · Knowledge of "basic" mathematics required to even talk about machine learning (e.g. probability theory, algebra 101, calculus 101).