Overview
The course covers theoretical foundations necessary for the in-depth understanding of modern optimisation methods for data science. The optimisation methods are presented in the context of relevant applications, such as the training of artificial neural networks and data classification. The methods discussed in the course include (stochastic) gradient descent, projection … For more content click the Read More button below.
Conditions for Enrolment
12 Units of Credit of Level 2 MATH courses, which must include MATH2011 or MATH2111or MATH2018(DN) or MATH2019(DN)
Course Attributes
General Education
Delivery
In-person - Standard (usually weekly or fortnightly)
Course Outline
To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)