18 мар. 2018 г. · I think Sanjeev Arora is in a league of his own :) His theoretical contributions to ML (or more specifically deep learning) are simply awe inspiring.

25 окт. 2017 г. · An imprecise but approximately true statement is that theoretical machine learning is about finite sample guarantees on learning.

27 февр. 2015 г. · First and foremost: Machine learning requires a knowledge in linear algebra and probability & statistics. Along with this, a basic understanding ...

22 июл. 2018 г. · Besides linear algebra, multivariable calculus and probability theory, what other branches of mathematics are used in machine learning?

14 апр. 2016 г. · Without theory, there would be no machine learning to work with. Without practice, there would be no need for machine learning.

3 июн. 2021 г. · No. I routinely work on varies different kinds of machine learning projects (mostly for fun or to learn) such as sentiment analysis and ...

21 окт. 2018 г. · There are two forms of rigor in machine learning: mathematical and experimental. On the mathematical side, computational learning theory ...

6 сент. 2018 г. · Both are required if you want to be employable in long term as not many books are available in more complex advanced algorithms so you wlll end ...

19 апр. 2017 г. · Read Research Papers: Stay informed about the latest research in machine learning by reading academic papers. Axtarishsites like arXiv and ...

2 апр. 2019 г. · To do theoretical work and research in machine learning, generally, you'll need PhD-level math. Machine learning and the components that make it ...