Text Data Wrangling, with Patrick Robotham

AI Engineers of Melbourne
AI Engineers of Melbourne
Public group


452 Flinders St · Melbourne

How to find us

Call the phone number that is on the sign downstairs.

Location image of event venue

What we'll do

We are excited to have Patrick Robotham from Eliiza present a talk on text data wrangling!

Text data such as emails, tweets, surveys, printouts, and forms is very common and difficult to wrangle. Patrick will discuss techniques for processing text data into more structured formats. Learn how to deal with such problems as improperly formatted addresses, typos, and inscrutable logic of automated systems.

About the Speaker:
Patrick Robotham is a Data Scientist for Eliiza. He has a keen
interest in building and productionising machine learning models.

Does your team productionise machine learning solutions?
The Enterprise Data Science Architecture Conference focuses on how to properly productionise data science solutions at scale. We have confirmed speakers from ANZ Bank, Coles Group, SEEK, Microsoft, AWS and Growing Data. The combination of presentations is intended to paint a complete picture of what it takes to productionise a profitable data science solution. Reserve your place now at https://edsaconf.io because you need to meet the right people.

As an industry, we are figuring out how to best build end-to-end machine learning solutions. The workflow starts with data sourcing, data preparation, feature engineering, building the machine learning model, testing the ML model, deploying to production, monitoring in production, getting feedback and then repeating the process with improved models and better features. Companies are currently learning how to build it all into one smooth pipeline. The presentations at our conference will show you what works today in leading enterprises. Reserve your place now at https://edsaconf.io because our field flies fast.

Your toolkit for real projects:
Enterprise scale brings its own challenges and solutions. Automation, resilience, scalability and the appropriateness of the data science techniques used have significant impact on profit and loss. Governance is also important because of privacy laws and because large enterprises often operate in regulated industries. The presentations at our conference will focus on how enterprises are productionising machine learning solutions. We are still learning as an industry. Knowledge of best practices in end-to-end machine learning pipelines will become essential skills - demanded by clients and employers. Keep your skills current. Register at https://edsaconf.io because this is a great place to learn and network in our industry.