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Take the next step in learning how to design and implement innovative solutions to complex problems using state-of-the-art machine learning algorithms and data science approaches.
Co-designed by renowned academics and industry partners from the UTS Master of Data Science and Innovation program and delivered one of the industry's leading experts, Anthony So, this interactive course will allow you to leverage the latest data science approaches and best practices to transform your approach to developing data-driven insights and solutions within any organisation.
In this course, you will learn advanced machine learning concepts and techniques in depth, such as machine learning pipeline, versioning, gradient boosting and neural networks. You will also gain skills that help you better manage production-ready end-to-end solutions.
Featuring a uniquely transdisciplinary approach to learning, this course will give you advanced skills in tackling complex problems, providing transferrable skills across a broad range of industries, sectors and organisations.
This dynamic, innovative approach, combined with hands-on learning and practice will help you become well versed in implementing, optimising and maintaining advanced machine learning solutions that can disrupt industries or change people’s lives for the better.
The course will cover the following content:
Improving machine learning results
Advanced machine learning algorithms
Optimising machine learning models
Deploying machine learning solutions
By the end of the course you will be able to:
This microcredential aligns with the 4-credit point subject, Advanced Data Science for Innovation (36114) in the Master of Data Science and Innovation (C04372). This microcredential may qualify for recognition of prior learning at this and other institutions.
This course is suitable for anyone interested in learning more about machine learning, such as:
This course is offered in a series of six weekly, three hour interactive online sessions facilitated by a leading industry expert. Each session consists of a mix of course presentations and hands-on experience. Participants will be able to learn the theory behind machine learning algorithms and data mining techniques followed by practical workshops where they will apply their learnings on real-world business use cases.
In between sessions, participants will engage in individual and collaborative online activities designed to support the understanding of the machine learning algorithms and their application.
Assessment task: Machine Learning Project
Assessment task: Kaggle Competition
Please contact us at learning@uts.edu.au if you have any questions about this course or requirements.
A discount of 10% is available to UTS alumni or UTS staff enrolling in this microcredential. If you’re eligible for this discount, please ensure you have provided your UTS Student or Staff ID number in your UTS Open Profile (under 'A bit about you').
When signing up for the session, use the relevant voucher code to apply the discount to your cart:
Please note that discounts cannot be combined and only one discount can be applied per person per course session.
