Advanced Machine Learning

Australia

4

¿Qué aprenderé?

Designed for professionals with some familiarity with machine learning (ML), this micro-credential will provide a deeper understanding of statistical learning theory and empirical risk minimisation, allowing participants to improve their ML models and algorithms. The micro-credential covers both theoretical considerations and hands-on, under-the-hood coding exercises.

About this micro-credential

This micro-credential introduces some advanced machine learning data models, algorithms and theoretical results. It focuses on key considerations, such as building data models with neural networks, deep neural network (DNN) architecture and generalised linear models and kernel methods and learning data models covering gradient-based algorithms and optimisation, backpropagation and constrained optimisation practice.

It also considers improving model reliability using DNN structures to enable learning stability and regularisation techniques, as well as exploring why learned models can be trusted through the risk theory of learning-based models, looking at bias, variance, training and test evaluation.

Key benefits of this micro-credential

Upgrade your machine learning models and projects – develop the knowledge and skills to build and understand more reliable models
Gain an in-depth coverage of the theoretical models and considerations underpinning machine learning and some practical coding exercises to demonstrate them
Complete as a self-contained course, or as a potential pathway to future postgraduate study.

This micro-credential aligns with the 2 credit point subject, Advanced Machine Learning (42894) in the Graduate Certificate in Professional Practice (C11298), Graduate Diploma of Professional Practice (C06136), Master of Professional Practice (C04404), Graduate Certificate in Technology (C11301), Graduate Diploma in Technology (C06137) and Master of Technology (C04406).

This micro-credential may qualify for recognition of prior learning at this and other institutions.

Who should do this micro-credential?

This micro-credential is suitable for professionals from a wide range of sectors and backgrounds, who have completed the Machine Learning Foundations micro-credential, or otherwise have some professional experience in the field and are comfortable working in Python.

UTS micro-credentials are developed for professionals with a capacity to undertake postgraduate tertiary education.

Course learning objectives

Upon successful completion of this course you will be able to design machine learning algorithms with practical implementation for professional contexts.

Opciones de estudio

En línea/Distancia (10 semanas)

Costos de estudio
A$1.595,00 (US$ 1.039) por año
Full price: AUD $1,595 (GST-free)

*El precio que se muestra es una referencia, por favor verificar con la institución

Fecha de inicio

To be confirmed

Puede haber diferentes requisitos de IELTS en función del curso elegido.

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