2022-09-15 Meetup Event Details

Schedule

1700–1800h: (Pre-event Workshop) Georgia Atkinson

1800–1830h: Refreshments

1830–1835h: Welcome (🔗 slides)

1835–1900h: Jack Walton, Jumping Rivers Ltd

1915–2000h: Matthew Edwards, NICD

Talks

Georgia Atkinson, Data Scientist and Trainer @ Jumping Rivers

Introduction to H2O Driverless AI

H2O Driverless AI is a proprietary tool developed by H2O.ai to perform automatic machine learning without the need for coding. Automatic machine learning is the process of automating the tasks of applying machine learning to real-world problems. Driverless AI provides automatic feature engineering, model validation, model tuning, model selection and deployment and machine learning interpretability all within a user-friendly interface.

Jack Walton, Data Scientist / Engineer @ Jumping Rivers

Scaling R with AWS Lambda (🔗 slides)

In this talk I will give an overview of a recent client project in which AWS Lambda was used to provide a scalable R-backend for a public-facing web application. This backend performed a number of different operations, including; evaluating a Bayesian Network model; rendering a parameterised PDF report via R Markdown, and creating data visualisations with {ggplot2}.

All the code used in this project is publicly available via GitHub.

Matthew Edwards, Data Scientist @ National Innovation Centre for Data

Databricks: Believing in Unicorns (🔗 slides)

Data science unicorns can develop data pipelines to clean and wrangle data; develop statistical and machine learning models for estimation and prediction; and deploy, monitor and maintain models in production. Unfortunately, the existence of a definition does not imply the existence of that which is defined. I never believed these data science unicorns existed. However, that has changed. I have seen data scientists transform into unicorns with the magic of Databricks and would like to share that magic with you.