Abstract: In this session, we will work through the basics of solving a classification-based machine learning problem using python and scikit-learn, and do a comparative study of two popular algorithms.
Bio: Yamini Rao is a Developer Advocate for IBM. She complies various developer scenarios and training material, including demos, writing blog posts, creating audio-visual artefacts and giving hands-on workshops and training sessions based on IBM Cloud technologies.
She works with various developer communities across the UK. As a developer advocate, Yamini is involved in public speaking engagements at conferences and meetups and also organises some of these events as part of the role.
The other part of Advocacy involves closing the loop, to collect feedback from the developer community about how they are using the technology and channel this back to the engineering and product management teams. She has a background in computer science and has previously worked as an Implementation Engineer for various IBM Analytical tools.