Meetup announcement: celebrating Women in Data Science with MagicLab
Update: Claudia Schulz’s talk can be view here.
Calling all Women in Data Science, Laura Mitchell and I are going to organise our first Women in Data Science online Meetup.
This is made possible thanks to the support of the MagicLab team. You may not recognise the name, but you’ve probably heard of our social networking apps, Badoo and Bumble. We’re a team of 650+ people who are on a mission to build relationships and every day our work impacts over half a billion users around the world.
Not only are we now led by Whitney Wolfe Herd (founder of Bumble and 30 Most Important Women Under 30), we’re fortunate to have some very talented women in our team and we want to celebrate their contribution, starting with Data Science! We are very proud of Laura’s Data Science team which helps our business increasing safety and optimising our apps with Machine Learning and we wanted to share some of the amazing work she and other women are doing. On Thursday 4th June, we’re bringing together some of the women that are pushing Machine Learning research and they will share their technical achievements.
Everyone is very welcome to join, so don’t forget to register here.
We will have two very interesting technical speakers, Claudia Schulz who is a Lead Researcher at Babylon health and our very own Laura Mitchell, Lead Data Scientist at MagicLab.
All the talks will be about machine learning in business. In particular, Laura will explain how to productionize deep learning model in a simple way. After that, Claudia will present a way to represent medical terminology using Machine learning. After
How to represent medical terminology for Machine Learning
Our first speaker, Dr, Claudia Schulz, is a lead research scientist at Babylon Health, where she tackles healthcare challenges using NLP, ML, and Knowledge Representation techniques. She has a background in both symbolic AI (PhD from Imperial College London) and NLP / Machine Learning (Postdoctoral Researcher at TU Darmstadt).
Babylon Health is a health service provider that provides remote consultations with doctors and health care professionals via text and video messaging through its mobile application. https://www.babylonhealth.com/.
Babylon’s mission is to put an accessible and affordable health service in the hands of every person on earth.
On their system, it’s possible to:
- Check your overall health
Babylon can answer questions you would normally ask your GP. After you can also have a digital one on one consultation with a real GPs anywhere, at any time of day. - Get some specialist advice
One of Babylon’s GPs can refer you to a specialist after a digital consultation with them. - Check your mental health
They can help you detect stress, anxiety, bereavement or depression.
Anyone can test their system by typing some symptoms on their website/app and ontology will guide them to provide an accurate description of what they feel.
The system is interactive so after you type one symptom it will help you narrow it down.
And much more …
This service, and in general Machine Learning applications in healthcare, requires some form of representation of medical terms, usually in the form of vectors. In this talk, Claudia will explain how such vector representations are obtained to investigate whether or not they adequately represent medical terminology.
Image detection as a service
Laura Mitchell, lead Data Scientist at MagicLab, will share with you how she and her team build and productionize Machine Learning models. She will walk you through how we productionize deep learning to support our different social networking apps Bumble and Badoo.
To begin with, she will give an overview of the models they have trained in order to extract a wealth of different information about the content of images.
Then, Laura will lead on to introduce the Flask framework and explain how to set up a server that listens on a port and returns a response upon receiving an HTTP request. You will see how the models can be placed onto the server and from there make predictions on previously unseen images.
Last but not least, you will learn more about the containerised platform Docker and learn how it can be used to create, deploy and run the application.
Interested? Please join us!
If you are interested in these topics you should definitely join us! The event will take place in our offices in Soho, on Thursday 4th June. Don’t forget to register directly on the event page.
Stay in touch and be updated of our future events via the meetup group: London Artificial Intelligence.
