Putting the fast in Fast.Ai - Machine Learning models in 15 mins

Machine learning is enabling computers to learn things which are not explicitly programmable. It’s complex – involving equivalent amounts of maths and computer science. It’s daunting and often hard to figure out where to start. Fast.Ai was created with the aim of helping developers and non-technical SME’s build their own machine learning models. It provides a top-down approach which abstracts away the need for elaborate coding and complex theoretical concepts. Join me in an end to end demonstration of how to create a 95% accurate image classification model from scratch, using the Fast.Ai library. An ideal introduction to testing the waters in machine learning.

Akanksha is a graduate Data Scientist at Readify learning all things data. She graduated from University College Cork, Ireland in 2018 with a degree in BSc Financial Maths and Actuarial Science. She is an advocate for women in STEM and is currently a co-organiser of Women Who Code Melbourne.