|machine learning cs gatech||0.38||0.4||788||65|
Deep learning is a sub-field of machine learning that focuses on learning complex, hierarchical feature representations from raw data. The dominant method for achieving this, artificial neural networks, has revolutionized the processing of data (e.g. images, videos, text, and audio) as well as decision-making tasks (e.g. game-playing).What types of students can join the machine learning course?
All types of students are welcome! The Machine Learning topics might be “review” for CS students, while finance parts will be review for finance students.What is CS 6238 in Computer Science?
CS 6238. Secure Computer Systems. 3 Credit Hours. Design principles of secure systems, authentication, access control and authorization, discretionary and mandatory security policies, secure kernel design, and secure databases. CS 6241. Design and Implementation of Compilers. 3 Credit Hours.What is the difference between machine learning and finance?
The Machine Learning topics might be “review” for CS students, while finance parts will be review for finance students. However, even if you have experience in these topics, you will find that we consider them in a different way than you might have seen before, in particular with an eye towards implementation for trading.