Low Code AI Workflows To Get You Started Fast

AI, both Machine Learning and Deep Learning, is the magic bullet of our times – the secret sauce to any product – but how can you actually get started? What if you are designing biopharmaceuticals? Or ecosystem microbiology? Or you have space systems? Well, you are a domain expert there so how to take the next step and add AI in? This code along event is half presentation and half code along where we talk about just enough theory to get you started and then jump into a hands-on code along session where I walk through some low and zero code tools for machine learning on data as well as transfer learning to jumpstart your deep learning tasks.

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About the Facilitator

Dr Peter Brady (CPEng NER, MACS CP) is a Principal Application Engineer at the MathWorks where he leverages maths to accelerate our customers projects. He works across the engineering spectrum with a focus on maths, statistics, optimisation, machine and deep learning as well as cloud scale out. Prior to joining MathWorks Peter worked for several civil and defence contractors delivering projects in surface water, hydraulics and hydrology as well as fluid dynamics and submarine cavitation inception. His prior research work includes free surface hydraulic simulation, thermodynamics and nanofluidics. Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering, both from UTS, and is a Chartered Practicing Engineer with Engineers Australia (CPEng NER) and a Certified Professional with the Australian Computer Society (MACS CP).