(Same as Electrical and Computer Engineering M146.) Lecture, four hours; discussion, two hours; outside study, six hours. Requisites: course 32 or Program ...

Introduction to breadth of data science. Foundations for modeling data sources, principles of operation of common tools for data analysis.

This class will introduce the fundamental concepts and algorithms in machine learning (supervised as well as unsupervised learning) as well as best practices.

In the Introduction to Machine Learning class at UCLA, various fundamental concepts and techniques in machine learning were introduced.

Computer Science (COM SCI) M146 - Introduction to Machine Learning. Electrical and Computer Engineering (EC ENGR) M146 - Introduction to Machine Learning.

This repo includes the solution (code and write-ups) for CS M146 (Machine Learning) course at UCLA. The solutions are not intended to be copied.

(Same as Computer Science M146.) Lecture, four hours; discussion, two hours; outside study, six hours. Requisites: course 131A or Civil and Environmental ...

23 мая 2023 г. · I've heard from friends that 145 is extremely similar to both classes as well. It's not worth taking more than one of the three if you can avoid it.

Design and analysis of data structures and algorithms. Divide-and-conquer, greedy, and dynamic programming algorithm design techniques.

19 июн. 2023 г. · Math 156 or CS M146? · CS M146 is a lot more "hands-on" than Math 156, which is more theory heavy. · Math 156, while requiring 164 (optimization) ...