Lunch & Learn - Deep Learning in Real-Time: Pneumonia Detection


17th December 2020


We keep an eye out for all the meetups we think our community might be interested in, so this schedule represents a range of third party sessions as well as showcasing our own events. If you have something you'd like to share, do get in touch.





Please join us for the last event of the year. In this talk, we will explore DSF - Deep Learning in Real-Time: Pneumonia Detection.

Join us virtually this week in partnership with Dataiku.

We aim to share, inspire & bring the data community together to build your industry network & have some exciting interactions with your fellow peers.

Ticket Allocation Process:
Registering here guarantees you a ticket for the Data Science Festival Event on December 17th 2020. Once registered you will be sent your Zoom Link via email.

Registration Link:





Intro 1:05pm: Speakers: Anita Clement

Talk Title: Deep Learning in Real-Time: Pneumonia Detection.

Today, the benefit of ML is often conditioned to its deployment in real-time. In this talk, Anita Clement, Data Scientist at Dataiku, will explain how to design and deploy a real-time pneumonia detection engine on Dataiku DSS to power an application that could look like tomorrow’s automated diagnosis tools. Along the cycle of developing such a project, she will highlight key answers to common questions that usually arise when getting started with an image classification project:

Tensorflow vs PyTorch [Lightning] CNN: how to choose an architecture. Transfer learning or training from scratch. Deploying a deep learning model to an API service.

1:40pm: Community Q&A

2:00pm: Close

Bio: Anita is a Data Scientist at Dataiku where she helps clients across industries build and deploy data science solutions. Prior to Dataiku, she worked as a data scientist at a building materials firm, Saint-Gobain, using applied statistics and machine learning models to improve manufacturing processes and help researchers design and analyse their experiments. Anita holds a Masters in Econometrics and Statistics.