This course covers fundamental concepts of supervised machine learning, with sample algorithms and applications. "Supervised" means that for every example ...

This course is based on in-person lectures, in-person recitation sessions, class notes, and homework. The class notes in the Notes column below are the ...

Fundamental concepts of supervised machine learning, with sample algorithms and applications. Focuses on how to think about machine learning problems and ...

4 апр. 2022 г. · 371 is a good general introduction to ML, covers the basics and gives you a good theoretical and practical foundation. I'd recommend taking this ... Differences between ML courses? cs 371 curve? Compsci 371 and 671 Compsci 671 Другие результаты с сайта www.reddit.com

Fundamental concepts of supervised machine learning, with sample algorithms and applications. Focuses on how to think about machine learning problems and ...

Assignments from Duke's CS371S "Elements of Machine Learning" taught by Professor Carlo Tomasi - newtonkwan/machine-learning-duke.

COMPSCI 203 is a common prerequisite for many Duke CS courses. ... You may take an equivalent course: Duke CS 371 instead, which is equivalent to STATS 302.

Enjoyed his CS 371 Elements of Machine Learning. The best professor I have ever seen. It was him that took me on the road of ML/AI. EXTRA CREDITGroup ...

Продолжительность: 39:36
Опубликовано: 3 февр. 2021 г. Не найдено: duke | Нужно включить: duke