September Meet-up

1700--1800h: (Pre-event Workshop) Georgia Atkinson
1800--1830h: Refreshments
1830--1900h: Speaker 1, Jack Walton
1915--2000h: Speaker 2, Matthew Edwards

Georgia Atkinson, Data Scientist and Trainer @ Jumping Rivers
Introduction to H2O Driverless AI
H2O Driverless AI is a proprietary tool developed by [H2O.ai](https://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
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
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.

News and Announcements
Have a news item, or announcement you'd like making about upcoming data events or job opportunities in the North East? Comment below and we'll do our best to circulate this information at the end of the session.