One of the most important skills for those who work with Machine Learning (ML) is to know which method is the right choice for a given problem. Some choices are trivial however, there is usually a myriad of algorithms that can be used. In addition, productionising a trained model also comes into the production-level pipeline. Modern end-to-end (E2E) learning refers to the entire pipeline of a production-level ML application. This usually consists of infrastructure architecture, data processing, statistical modelling, ML frameworks, distributed computing, deployment as well as user experience (UX). In this talk, we are explaining the journey of a Data Scientist with their required skills/knowledge. What does a full stack hands-on mean? How can Data Scientists or a ML Engineers improve their skill sets to make themselves a contributor in the modern E2E ML product development? These are some of the most important questions data scientists have. We are going to make a clear picture of this journey by demonstrating a real-life customer pattern recognition use case.,

The talk introduces how AI and big data analysis can be used in the aged care sector. We have always been committed to using AI to help improve the welfare system and the standard of living of residents - particularly senior citizens. We invented CaptureLive, a smart care solution for the elderly with innovative patented fall prevention and detection system driven by ML&AI, for families of elderly people who can monitor seniors' status and send alerts to carers when a fall is predicted to occur.

Taicheng is the CTO of AIBUILD PTY LTD, an innovative Australian startup company that develop solutions using state-of-the-art technology from AI, VR to IoT with Australian Innovation Patent granted.

Deep learning is driving advances in artificial intelligence that are changing our world. Computer vision gives machines those eyes to detect, track, classify and analyse objects while feeding with images and videos.
In this presentation, we'll talk about some ground breaking applications implemented worldwide using computer vision and have a small demo on how to detect a face in a video.